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Paper Citation Record · LEDGER

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge

As of 13 August 2026, this Paper Citation Record lists 100 of 195 outbound references and 7 inbound Pith citation observations for arXiv:2505.23009.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.23009 v1

Coverage vector

measured 100 of 195 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:59:32.450042Z

measured 107 of 107 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:20:42.015534Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 195 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 7d460f25-18c0-4329-9174-9cf3247ae840 · outbound

This paper cites https://huggingface.co/openbmb/MiniCPM-o-2_6.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge https://huggingface.co/openbmb/MiniCPM-o-2_6

Reference 1

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source=pdf_text observed=2026-08-07T12:59:22.123813Z digest=sha256:dc608e7b9d2c31c34f2f729113089bdc2f4239f921b75949e33139ec6d29d50a

Observation 176414f3-bc3c-437f-a44a-2f9f85b6a498 · outbound

This paper cites https://github.com/suno-ai/bark.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge https://github.com/suno-ai/bark

Reference 2

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source=pdf_text observed=2026-08-07T12:59:22.355934Z digest=sha256:7061c8f7b15d13db42329e969ad384410c11a18d3cb8680461881b25f1b24708

Observation 11bd66d3-2f8a-43c5-ac37-f34a81ba86a0 · outbound

This paper cites https://github.com/neonbjb/tortoise-tts.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge https://github.com/neonbjb/tortoise-tts

Reference 3

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source=pdf_text observed=2026-08-07T12:59:22.464130Z digest=sha256:f31a7c0673691d817a00e409cee86177afdb2fb3c0bcfbca0c465e2bef388752

Observation 205fee0c-98cd-4066-8c0f-90393b0867ad · outbound

This paper cites https://github.com/wenet-e2e/WeTextProcessing.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge https://github.com/wenet-e2e/WeTextProcessing

Reference 4

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source=pdf_text observed=2026-08-07T12:59:22.598188Z digest=sha256:4f44262761ba3936ff2f6a82cef2095241d868ceee1f4176cbf983665f5a17f3

Observation 71cea248-dfa8-4a11-a6c1-89e155429b41 · outbound

This paper cites https://huggingface.co/Zyphra/Zonos-v0.1-transformer.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge https://huggingface.co/Zyphra/Zonos-v0.1-transformer

Reference 5

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source=pdf_text observed=2026-08-07T12:59:22.693266Z digest=sha256:d6dc4ce541fafed4a6fb5194ac8a2d025e7d7a3e25df701b6cf8e8e0b6b85108

Observation dca4f373-43c2-43b2-b8da-0eed141567e1 · outbound

This paper cites Seed-tts: A family of high-quality versatile speech generation models, 2024.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Seed-tts: A family of high-quality versatile speech generation models, 2024

Reference 6

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source=pdf_text observed=2026-08-07T12:59:22.786045Z digest=sha256:08821a5e94435b0d0e01c2b14adda3e0da2168d81c5c0763b4cdc955bcd4682c

Observation 0cc3aa6f-a4f7-4cf6-bce4-5376fbf511d6 · outbound

This paper cites Hifi++: A unified framework for bandwidth extension and speech enhancement.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Hifi++: A unified framework for bandwidth extension and speech enhancement

Reference 7

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source=pdf_text observed=2026-08-07T12:59:22.903641Z digest=sha256:9e3efbd21cee54d919c3638ce747685574e16ec361e47ec64cda13ab3f4b1af6

Observation 1219e962-6254-4cb4-a3d6-ffb802aac7e0 · outbound

This paper cites Deep learning-based expressive speech synthesis: a systematic review of approaches, challenges, and resources.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Deep learning-based expressive speech synthesis: a systematic review of approaches, challenges, and resources

Reference 8

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source=pdf_text observed=2026-08-07T12:59:23.021512Z digest=sha256:ea8f8b9dc370ba589cc091ab39d64b76dbffa464e0f2531f94c2918e31517853

Observation 25f6b129-e257-4dd4-90f3-c6e970419d49 · outbound

This paper cites Orpheus-tts.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Orpheus-tts

Reference 9

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source=pdf_text observed=2026-08-07T12:59:23.142124Z digest=sha256:59f9c220b0018cee820d0ef4309feae679220588c7853e41381052079aeb04c6

Observation 9573afaa-fdaa-40fd-bd92-325d8626ffce · outbound

This paper cites Audio large language models can be descriptive speech quality evaluators.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Audio large language models can be descriptive speech quality evaluators

Reference 10

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source=pdf_text observed=2026-08-07T12:59:23.225020Z digest=sha256:49057c074e2d4764686cc94fb0f752b3fe13fa85a74f46f8b41c3bc0d61b9895

Observation 39b992d5-7897-4cfb-83ea-73292e43ac8c · outbound

This paper cites SANE-TTS: Stable and natural end-to-end multilingual text-to-speech.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge SANE-TTS: Stable and natural end-to-end multilingual text-to-speech

Reference 11

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source=pdf_text observed=2026-08-07T12:59:23.364616Z digest=sha256:8e66436aa9ad13c11e972f6f808cfd972022d7af68113bf76af833abbeda1a28

Observation 56a54051-a366-48b9-862e-615c720327c4 · outbound

This paper cites Qwen-audio: Advancing universal audio understanding via unified large-scale audio-language models, 2023.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Qwen-audio: Advancing universal audio understanding via unified large-scale audio-language models, 2023

Reference 12

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source=pdf_text observed=2026-08-07T12:59:23.494815Z digest=sha256:85b37e8e3fba53983919392f395c7726fd8ed46378e06fc7d78a35f906ee8258

Observation 5047b16f-a4b8-4120-a823-05751a391966 · outbound

This paper cites Deepseek-R1: Incentivizing reasoning capability in llms via reinforcement learning, 2025.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Deepseek-R1: Incentivizing reasoning capability in llms via reinforcement learning, 2025

Reference 13

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source=pdf_text observed=2026-08-07T12:59:23.590194Z digest=sha256:0977ca4862f6d6436ac2baf8a6791bf12fe64dfb4e4cf122261058db605bae50

Observation 06f49cbb-da56-49b4-9248-2dd786226f6f · outbound

This paper cites Cosyvoice: A scalable multilingual zero-shot text-to-speech synthesizer based on supervised semantic tokens, 2024.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Cosyvoice: A scalable multilingual zero-shot text-to-speech synthesizer based on supervised semantic tokens, 2024

Reference 14

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source=pdf_text observed=2026-08-07T12:59:23.715236Z digest=sha256:cc343ea9f7a299e05e2729755cd4a2acedb4e9c4a41b8802d2a1d85f4d167584

Observation 3812c265-737b-45e2-b200-f1e471dd9f28 · outbound

This paper cites Wavllm: Towards robust and adaptive speech large language model, 2024.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Wavllm: Towards robust and adaptive speech large language model, 2024

Reference 15

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source=pdf_text observed=2026-08-07T12:59:23.847705Z digest=sha256:857be405c1cb6c9a03b7b8d13b852e93c8fdb08ff0652972a3480974b5bf6a4f

Observation 804fcd4e-c745-4e92-87df-30b7af093e2b · outbound

This paper cites Zezario, Tomoki Toda, Hsin-Min Wang, Junichi Yamagishi, and Yu Tsao.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Zezario, Tomoki Toda, Hsin-Min Wang, Junichi Yamagishi, and Yu Tsao

Reference 16

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source=pdf_text observed=2026-08-07T12:59:23.943571Z digest=sha256:7abea8bb8f1729441a08951e87af96c91f89073033a8b8616636d2f0211d7271

Observation 9bdaf572-7d40-484f-932b-605afea9cd2c · outbound

This paper cites Wavreward: Spoken dialogue models with generalist reward evaluators, 2025.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Wavreward: Spoken dialogue models with generalist reward evaluators, 2025

Reference 17

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source=pdf_text observed=2026-08-07T12:59:24.041125Z digest=sha256:626e3c4c84c1ce39304ba4a8a6586d0ebb9b186d485f4d0516a3e962a245fc6f

Observation a0b577b6-d7ec-4def-ad2e-7ef96c4077be · outbound

This paper cites BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data

Reference 18

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source=pdf_text observed=2026-08-07T12:59:24.161122Z digest=sha256:1ad7d2a8758b634ffe9ec3469d61d304334f8496a9ab60b7e37639b3b212f964

Observation 225e90b0-357b-47a4-8dcf-8518578642d9 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-07T12:59:24.282631Z digest=sha256:29f9cd0b954a3bc22d516e80e9c9cccc3bffecf6465e6b682dc4e86a594ef3bb

Observation 08ecea3b-720a-4266-9a1d-f1f0f65feb4b · outbound

This paper cites The Application of Speech Synthesis in Car Warning System, pages 657–662.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge The Application of Speech Synthesis in Car Warning System, pages 657–662

Reference 20

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source=pdf_text observed=2026-08-07T12:59:24.420902Z digest=sha256:a22c62a08e25e1b991a779b0e1c6c4491f37113bf9dc524da723d5cbe2530a51

Observation 02998162-fed0-4d2e-a154-109f23891f60 · outbound

This paper cites Inference-time scaling for generalist reward modeling, 2025.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Inference-time scaling for generalist reward modeling, 2025

Reference 21

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source=pdf_text observed=2026-08-07T12:59:24.521051Z digest=sha256:3168d0974f96e3536d9a3e7605b8e80ecae7ae4c8fff893b6dfccc5234b55771

Observation 220e2358-44db-4470-9ef0-1db34854ae26 · outbound

This paper cites Generalized multilingual text-to-speech generation with language-aware style adaptation, 2025.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Generalized multilingual text-to-speech generation with language-aware style adaptation, 2025

Reference 22

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source=pdf_text observed=2026-08-07T12:59:24.611021Z digest=sha256:f2f7497ecaee4291f21f82b675af138b038037d6aea7d43105d1e083c890f0b9

Observation c50c5376-b576-4454-92f1-b54e576b8816 · outbound

This paper cites Somos: The samsung open mos dataset for the evaluation of neural text-to-speech synthesis.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Somos: The samsung open mos dataset for the evaluation of neural text-to-speech synthesis

Reference 23

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source=pdf_text observed=2026-08-07T12:59:24.707740Z digest=sha256:f96bbaa84ec07be5ed7e72dcb33cdf5a9f0c3753743b16422dcad55095a5fc50

Observation 3fff9e79-0d00-47d1-b06b-4cdbb79b3d04 · outbound

This paper cites Youth disability: Adopting text-to-speech and screen reader technologies for library and information services.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Youth disability: Adopting text-to-speech and screen reader technologies for library and information services

Reference 24

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source=pdf_text observed=2026-08-07T12:59:24.780715Z digest=sha256:381adb88aa4ed1bc1ffea181799e9e04857295cf5f5108ed29fb3cdd21c71413

Observation 77fcdec5-a860-46eb-b800-0db6f90b69cf · outbound

This paper cites Applications of voice quality technology in virtual assistants and call centers.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Applications of voice quality technology in virtual assistants and call centers

Reference 25

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source=pdf_text observed=2026-08-07T12:59:24.880672Z digest=sha256:a662ce8ba2cff7da6ec55f808ab46395acd3bbab75d939e9130e4e7f505513a0

Observation d39c6652-fea0-45fe-bac4-724212e43122 · outbound

This paper cites Prosody analysis of audiobooks, 2025.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Prosody analysis of audiobooks, 2025

Reference 26

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source=pdf_text observed=2026-08-07T12:59:24.981542Z digest=sha256:941d08958d2bc2f8f2102a99d915b0b0ce43cb3d3871320266019df08fdf1c8c

Observation 4b662415-ad37-4e82-a618-3137101bb7c6 · outbound

This paper cites Robust speech recognition via large-scale weak supervision, 2022.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Robust speech recognition via large-scale weak supervision, 2022

Reference 27

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source=pdf_text observed=2026-08-07T12:59:25.067775Z digest=sha256:c9b0e10de4d8b29cea5025ef0dab9ded8893bb4ed69efd417d57e6b00d9c3487

Observation 3f907a15-6d7c-4901-a202-182d1d49f7c4 · outbound

This paper cites Text-to-speech software and reading comprehension: The impact for students with learning disabilities.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Text-to-speech software and reading comprehension: The impact for students with learning disabilities

Reference 28

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source=pdf_text observed=2026-08-07T12:59:25.115166Z digest=sha256:e90314b4e7696e5025cea3698f2f9537a5dcb01c2ca4f53b2d33a13402d5d9ba

Observation ccaee203-f3f2-47ed-971c-bdff8ca04546 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-07T12:59:25.186851Z digest=sha256:67e709011f2ed800114205dda7b8ce7d46fe9ed73854379d2bb0acd8a901fe3d

Observation 06b7c93c-9bb8-4859-9815-b9943bb563e2 · outbound

This paper cites Mmau: A massive multi-task audio understanding and reasoning benchmark, 2024.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Mmau: A massive multi-task audio understanding and reasoning benchmark, 2024

Reference 30

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source=pdf_text observed=2026-08-07T12:59:25.232231Z digest=sha256:8653859d9111194259cfd205692495aba5a8ab4f3485da074d6112e99194c6dc

Observation ce95ec3c-8843-4b13-9fc3-9731dad368bb · outbound

This paper cites MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark

Reference 31

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source=pdf_text observed=2026-08-07T12:59:25.279897Z digest=sha256:9b1bcd823c27c2074207027ee7ef198a243a5c4760d0e5559de37d92dfb0cd79

Observation 4fedfc3c-0909-4d36-ad68-1fc6c9150207 · outbound

This paper cites Parikh, and Jason Riesa.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Parikh, and Jason Riesa

Reference 32

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source=pdf_text observed=2026-08-07T12:59:25.341168Z digest=sha256:0c032b6172d3dfab4394fea7a0ecf7901f5d14915a7072301ccb9eddd62c0438

Observation 8764040b-11e9-4bd1-a8ac-19766a69ce11 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-07T12:59:25.396915Z digest=sha256:cfe5b840e8743047ad20f71d5ea0ca7b15825432938bdf8f9e14fc8a58eacdab

Observation c3841355-056b-4b48-8d46-b2b8cf3cc79b · outbound

This paper cites Salmonn: Towards generic hearing abilities for large language models, 2024.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Salmonn: Towards generic hearing abilities for large language models, 2024

Reference 34

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source=pdf_text observed=2026-08-07T12:59:25.464461Z digest=sha256:33c1ed7f328a00a3ce5254e8cf8857b8a72280beac82a2dd8d79efd196bc25b1

Observation d44b5ea1-3526-4997-8794-7eb30d365729 · outbound

This paper cites Gemini: A family of highly capable multimodal models, 2025.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Gemini: A family of highly capable multimodal models, 2025

Reference 35

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source=pdf_text observed=2026-08-07T12:59:25.532648Z digest=sha256:25a92213aa526da7e7d1195f21a344c96f7fff7dfe39dab4367563f5732a07ed

Observation 0e9ff48b-22c2-4d19-b40c-ad3de0ec1f1b · outbound

This paper cites Speech recognition challenges in the car navigation industry.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Speech recognition challenges in the car navigation industry

Reference 36

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source=pdf_text observed=2026-08-07T12:59:25.625324Z digest=sha256:23b43391c9ab4da6836fa3f288b7c7f98bd8813425f2799c8146330cd08124ee

Observation a94b5756-767f-4225-97dd-ce33f2d74e80 · outbound

This paper cites Freeman, and Markus Weimer.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Freeman, and Markus Weimer

Reference 37

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source=pdf_text observed=2026-08-07T12:59:25.682024Z digest=sha256:e873f79c3dd113734b03ffb045e8f5cf1fde4bd9d857497735ff2b9fb895c2e0

Observation 6f411fbb-90d1-4790-b96c-c251c41d86ae · outbound

This paper cites Evaluating text-to-speech synthesis from a large discrete token-based speech language model, 2024.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Evaluating text-to-speech synthesis from a large discrete token-based speech language model, 2024

Reference 38

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source=pdf_text observed=2026-08-07T12:59:25.748602Z digest=sha256:3f49c85f16ed10cb72d502bd2b9a5107db438dc2e3b5df7d90a9bbbfb43481d2

Observation f7022443-a363-47e2-a468-4f476e080456 · outbound

This paper cites Enabling auditory large language models for automatic speech quality evaluation, 2025.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Enabling auditory large language models for automatic speech quality evaluation, 2025

Reference 39

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source=pdf_text observed=2026-08-07T12:59:25.836674Z digest=sha256:13a260faa762dcbb3903a405e5bd5878182ad8c70f2b232b64b1dfbab1917323

Observation 0b08332e-dd81-4e60-b141-fc9aac8937d1 · outbound

This paper cites Spark-tts: An efficient llm-based text-to-speech model with single-stream decoupled speech tokens, 2025.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Spark-tts: An efficient llm-based text-to-speech model with single-stream decoupled speech tokens, 2025

Reference 40

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source=pdf_text observed=2026-08-07T12:59:25.920779Z digest=sha256:9e3454813f9971c05c1592865065665a89576e1e619d5a3a41af850a1c7b2fe4

Observation 836b5a4e-c5f4-4ab7-a3b0-8dbc892069a1 · outbound

This paper cites The iscslp 2024 conversational voice clone (covoc) challenge: Tasks, results and findings, 2024.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge The iscslp 2024 conversational voice clone (covoc) challenge: Tasks, results and findings, 2024

Reference 41

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source=pdf_text observed=2026-08-07T12:59:25.972618Z digest=sha256:8678eacd709961a4eab3173c38931b0cd6d5898e880e85d621b34bfc89880be7

Observation debefcb3-c5e9-4b3f-a07e-524e1b50360f · outbound

This paper cites WizardLM: Empowering large pre-trained language models to follow complex instructions.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 42

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source=pdf_text observed=2026-08-07T12:59:26.035027Z digest=sha256:a662999ed2b4daea2ce5e93dc4c33445fed7a0379769c7c201c24692111e4772

Observation 33d7b041-cf1c-4322-8a0b-1f635b6f3629 · outbound

This paper cites text_to_synthesize.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge text_to_synthesize

Reference 43

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source=pdf_text observed=2026-08-07T12:59:26.073783Z digest=sha256:73c90c5b0dd030762d04bb6934258f9f85542df404954ea5d62ecfa2fd5e1b99

Observation 35c5e7d3-918a-4f7c-a261-3eceb2c75a1b · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 44

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source=pdf_text observed=2026-08-07T12:59:26.161264Z digest=sha256:b5b6cb0cad955fdcffde34ddf76618c117a4f531cc9900c6a1d6a60b3b507f79

Observation 1d987801-33ba-464b-96e5-703975a92a9a · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-07T12:59:26.206382Z digest=sha256:b0a649bf6638dd6f7014c4f99c546b7ab1185616bef76a800ab399e278c39821

Observation dd9bf107-fe39-43f5-ada9-aeeda5173772 · outbound

This paper cites 14 The main goals for the set are:.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge 14 The main goals for the set are:

Reference 46

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source=pdf_text observed=2026-08-07T12:59:26.282646Z digest=sha256:55d08677b220b7ca85c15fa93cf4ca6867f7ae3754804b8e6416ffd4516133f4

Observation c710b730-9660-4ff2-b29d-a405f6b5d19a · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-07T12:59:26.353017Z digest=sha256:1d0bdaf6b96ffff20cc10b0b3d6a1c3f14165cb42ebbcabc60e8349133f60708

Observation b03ca92b-1cd0-4d77-91d6-088758653038 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-07T12:59:26.491815Z digest=sha256:9a72b91bc8ac69d510cba912c22959cd0cd9639756d478dd49eff32670740725

Observation aed2c966-d6a2-47ca-a9ec-270e912f45e0 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-07T12:59:26.573584Z digest=sha256:555ad5142907d6ffeda7524211cd9578e60963253032710eb274cbb66b17ac10

Observation a111fa93-839e-4f90-b15f-e6a2809163ea · outbound

This paper cites "" You are evolving a **text_to_synthesize** sample belonging to the.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge "" You are evolving a **text_to_synthesize** sample belonging to the

Reference 51

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source=pdf_text observed=2026-08-07T12:59:26.635309Z digest=sha256:692ed03e769ee07326b9486e3c2c326e1ad06806beb180b04886b529080545bc

Observation 5d49c281-d494-455c-93db-b5a69eceac19 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-07T12:59:26.715583Z digest=sha256:343e0dd3844d2a517af80988b9cfaa7046f77ffcfa087cf164c3df908c627172

Observation f929fd24-fbf1-47fb-af6f-48aa39202da0 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-07T12:59:26.792318Z digest=sha256:7946addd8dc08027e4e5e3856affd0c5268e4d47e562944cfcdb45b034e70777

Observation 543f222a-f4d2-4bfd-b76d-01f1b0ed60cd · outbound

This paper cites Then, **add one** related, grammatically complete question *immediately following* the modified text.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Then, **add one** related, grammatically complete question *immediately following* the modified text

Reference 54

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source=pdf_text observed=2026-08-07T12:59:26.846421Z digest=sha256:5cb4fb337327355867398670d53b57b7d72838677c5fcc80ce087e501c06de94

Observation dcb6d042-9ce0-46cd-b610-71ca305cd175 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-07T12:59:26.919989Z digest=sha256:478dcf3ea26b97b595799d1095a88f28bb9ed84197e99b7d059672762a574837

Observation c0e415e7-6f73-4935-9847-edd856cb5c86 · outbound

This paper cites to be" is replace with.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge to be" is replace with

Reference 56

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source=pdf_text observed=2026-08-07T12:59:26.973562Z digest=sha256:11e1cc4b42d32e4e62c78dac923bf0baa2d5eaf5c3093a12fe530a8b3106a4a8

Observation 30ac59cc-7920-4ada-8d77-b2e57f6cceb1 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 57

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source=pdf_text observed=2026-08-07T12:59:27.030998Z digest=sha256:32a711604860af9eed62da9ea87e53f2dd43c6195d2214c981f4360fae8006ca

Observation d0565783-dcda-4219-acc0-5c6007727da4 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 58

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source=pdf_text observed=2026-08-07T12:59:27.086258Z digest=sha256:7b63c2ddb49e949bcc3b08549cc6fee4588f0bc971a99a177ec15ee056b12299

Observation e271a5e9-b6aa-43d6-add7-1c9afd96eaef · outbound

This paper cites Ensure that each language has atleast 1 foreign phrase.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Ensure that each language has atleast 1 foreign phrase

Reference 60

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source=pdf_text observed=2026-08-07T12:59:27.198739Z digest=sha256:43b6a87a3c9b417b9ebf0490f8db4bd95b79d59e799d526ed7adfcdc73f21a09

Observation 9fa272ac-c5d6-4d88-a2a7-0d86d180d2e5 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 61

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source=pdf_text observed=2026-08-07T12:59:27.292209Z digest=sha256:2d588c648e9ea562459a45416d6fc2d11c0ccd7bc8948047a56f4e1fee64f6bb

Observation 6d9746e4-2927-4936-8bbf-8ee8475a7442 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 62

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source=pdf_text observed=2026-08-07T12:59:27.467276Z digest=sha256:44ae34426cb41c192b4fb3b72f6398503e558b2dfa28a080278a6d87d660043a

Observation 32ad117d-61fc-4d78-b296-27be04880419 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 63

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source=pdf_text observed=2026-08-07T12:59:27.624271Z digest=sha256:b605cfa665270ffc0ef38a23f18ff054d784952521c8c2792921ac4d8e442f7e

Observation f40ed726-ba8b-45af-805f-3cc8f18be4aa · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 64

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source=pdf_text observed=2026-08-07T12:59:27.745718Z digest=sha256:c81ea721ad3590847e9d76a27ed2ab023c93c3e95744617ab85eba9354e60682

Observation 41121d68-b659-4905-bf8d-54906bef987f · outbound

This paper cites All foreign words **MUST** not be duplicated.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge All foreign words **MUST** not be duplicated

Reference 65

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source=pdf_text observed=2026-08-07T12:59:27.894566Z digest=sha256:3eaaf85f812bb695630251afe85d8fd40fbb750cca6cbd90ffc3720873304ca3

Observation 243e118a-0065-476d-a402-873f629b6994 · outbound

This paper cites AT THE SAME TIME, do not use very obscure words that don’t exist in the modern vocabulary, we want to create natural day-to-day sentences that bi- lingual speakers will speak**.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge AT THE SAME TIME, do not use very obscure words that don’t exist in the modern vocabulary, we want to create natural day-to-day sentences that bi- lingual speakers will speak**

Reference 67

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source=pdf_text observed=2026-08-07T12:59:28.177302Z digest=sha256:27e71eb3efee5bbc938b9641168ea8b88cf083490f7b1fd7fdaafe50c773c574

Observation b38f60da-9773-4580-ae79-7661842875cf · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 68

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source=pdf_text observed=2026-08-07T12:59:28.285440Z digest=sha256:12fc570735b8bde6645ff0caaa3a528f017f51bd6b914b2ac87d2d1656c8a3a8

Observation c5c6a5f0-cdff-4316-b5ad-f9ef20036179 · outbound

This paper cites misc" field, add a new key.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge misc" field, add a new key

Reference 69

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source=pdf_text observed=2026-08-07T12:59:28.432064Z digest=sha256:5e8d7844ee8be7cf63a8c1586c41b1213df9f619171bd938ca17b1012a1b3916

Observation c4834ec5-e4ba-42db-8704-0cabcaed7b8c · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 70

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source=pdf_text observed=2026-08-07T12:59:28.565040Z digest=sha256:0103de6f95e021063f190de3d6493470e09ae98662f1a94e60ce11de2c9eb211

Observation ec22d491-1d67-4d98-9418-2ff6adef3e98 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 71

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source=pdf_text observed=2026-08-07T12:59:28.727127Z digest=sha256:0e93c8c59ba4f22451f022c2bf4c34bb7fd55e710b153ebbd544cf14e1aac70a

Observation e601e8ff-beab-40e2-add8-1d56f1b3cf40 · outbound

This paper cites Mention how this **DOES NOT** make the text syntactically awkward.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Mention how this **DOES NOT** make the text syntactically awkward

Reference 72

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source=pdf_text observed=2026-08-07T12:59:28.874003Z digest=sha256:9deb8b572e4233f550092c34e5232ce93abe731dd20e3fca878960c55ffe8f48

Observation 88da4798-9a24-4e77-b28a-468d9cd03249 · outbound

This paper cites **For Approach 2, state the original short phrase, the absorbed English words, and the resulting longer foreign segment with its word count.**.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge **For Approach 2, state the original short phrase, the absorbed English words, and the resulting longer foreign segment with its word count.**

Reference 73

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source=pdf_text observed=2026-08-07T12:59:28.949777Z digest=sha256:55ec0e8e8e8139ad93181882c5563eceb84aec611bc8a19af562af137161ea37

Observation 169fe26c-aa56-422b-9329-90c2919897ea · outbound

This paper cites **For Approach 2, emphasize the challenge of sustained foreign language synthesis and grammatical integration.**.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge **For Approach 2, emphasize the challenge of sustained foreign language synthesis and grammatical integration.**

Reference 74

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source=pdf_text observed=2026-08-07T12:59:29.040989Z digest=sha256:4598a83e0e6de8a804e3c5bf007fda411aa91e7ef14330ba58b9c5b989344d6d

Observation 4540adda-36e9-4873-a938-1a8ab66ec053 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 75

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source=pdf_text observed=2026-08-07T12:59:29.136251Z digest=sha256:e933c9c037c28836e7e1a149b9394397e0d016a57b63da203f9362b2239cc32b

Observation 8332f690-7b54-4320-92fa-122401ab0c7f · outbound

This paper cites 7.2 Restructure, paraphrase and edit the text grammatically to ensure **NO AWKWARDNESS** in the text.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge 7.2 Restructure, paraphrase and edit the text grammatically to ensure **NO AWKWARDNESS** in the text

Reference 76

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source=pdf_text observed=2026-08-07T12:59:29.222566Z digest=sha256:aee9ea5d195484eb28f5d35b185fab2f2c938368c1020e80d89ab47f4d8335bf

Observation 9e3f6aee-df8c-49ac-923a-65d3d8e5cf25 · outbound

This paper cites "" A.3 Category 3: Paralinguistics Figure 7: Example depth-refinement for paralinguisitcs category. Starting with just one cue.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge "" A.3 Category 3: Paralinguistics Figure 7: Example depth-refinement for paralinguisitcs category. Starting with just one cue

Reference 77

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source=pdf_text observed=2026-08-07T12:59:29.362145Z digest=sha256:bc781543d59602f3bb0c27c166f00ff07df3e58edf9f1ceca6eac0de47b1ec62

Observation 09ca8552-41f1-4f9b-8b42-8d6c5dabbd12 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 78

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source=pdf_text observed=2026-08-07T12:59:29.467472Z digest=sha256:11c53d2be7685c1bab931f034f88ea6c91824457117ad3d664ff93d58fc8ea3d

Observation 6a6cf1f2-b8eb-4453-af8e-d5469828e5c8 · outbound

This paper cites Uh", "Uhmm.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Uh", "Uhmm

Reference 79

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source=pdf_text observed=2026-08-07T12:59:29.571387Z digest=sha256:14ca199f1a5f2dd53b3641e31bf1bd3e09bcad3b49013fefce9e6232b64a768d

Observation 8b59f380-e9cc-4dce-a65f-d4e0a0a5b720 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 81

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source=pdf_text observed=2026-08-07T12:59:29.813008Z digest=sha256:62d9d569098b75016e990235d2cc7030c7888abf0fc9b3226add2cf375b03683

Observation d357c59a-ccb0-4335-9dd4-cb0afbb05791 · outbound

This paper cites These should be sounds that humans can produce well based on the textual cue.**.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge These should be sounds that humans can produce well based on the textual cue.**

Reference 82

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source=pdf_text observed=2026-08-07T12:59:29.957462Z digest=sha256:0fdd94535a50854797d32f740c20e7b00f8c6ce4ddee947438238b1e76179121

Observation 8cdd50da-ab9f-44c1-8672-78dca6eef352 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 83

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source=pdf_text observed=2026-08-07T12:59:30.031457Z digest=sha256:f9ed7e44899e6c7d97c0cc6c0c402839811295acf484be813fe8acbb8b93b362

Observation 4ab87708-898f-4623-8e0d-a537c1033c9a · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 84

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source=pdf_text observed=2026-08-07T12:59:30.094257Z digest=sha256:6f5db866a9b58b2e67e2facfc986e6f4d948ba08ab185e6657b7ec2dd0f3036a

Observation 2d0f7291-9fda-437e-8624-9a06a4eb00cd · outbound

This paper cites "" You are tasked with enhancing the paralinguistic complexity of the provided ** text_to_synthesize**, which belongs to the.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge "" You are tasked with enhancing the paralinguistic complexity of the provided ** text_to_synthesize**, which belongs to the

Reference 85

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source=pdf_text observed=2026-08-07T12:59:30.225119Z digest=sha256:d67cd27531f94e9883e33a97212cd1feba178abe331ab990bd845a3a838910ef

Observation 8d9ce7d6-1488-4ebb-b0fc-bb48fa7f0e23 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 86

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source=pdf_text observed=2026-08-07T12:59:30.364305Z digest=sha256:f4cbe11c820077b0b9a5b20adfaf4487cdb6e781290252c94edb8f2db0cea8b4

Observation 24727f29-47b2-46a7-9a93-1d568378acf1 · outbound

This paper cites Wow !",.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Wow !",

Reference 87

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source=pdf_text observed=2026-08-07T12:59:30.487507Z digest=sha256:1d980fd79e378dee9b6fc09d7096af54e41a0f87100193cb1fcd511a5cbcad10

Observation f03cf393-e0c0-4fbf-b2ab-151d1e96b2f5 · outbound

This paper cites Focus only on cues the TTS would encounter in the direct text-to-be- synthesized.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Focus only on cues the TTS would encounter in the direct text-to-be- synthesized

Reference 88

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source=pdf_text observed=2026-08-07T12:59:30.594796Z digest=sha256:d971b90e95924a79c99df96598bb32d08158b5ad1de5256e330579bed6d03ff5

Observation 28520f57-556c-463f-b365-b4c7c009dcc3 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 89

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source=pdf_text observed=2026-08-07T12:59:30.704923Z digest=sha256:6d464f650750747264a2d6b15600f15c5cd4fb9b23ada86d1c9d77f4d2cdfb12

Observation 5c44beae-ec06-48a0-b417-c6bb3026b638 · outbound

This paper cites * It must **NOT** sound forced, nonsensical, overly exaggerated beyond plausibility, or contain cues that contradict each other.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge * It must **NOT** sound forced, nonsensical, overly exaggerated beyond plausibility, or contain cues that contradict each other

Reference 90

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source=pdf_text observed=2026-08-07T12:59:30.808239Z digest=sha256:4da6700297dcd5b331300a2e22932ebc64157a63bb982516b09df9d26b9c020b

Observation e49f29be-416b-4239-8ebb-3234e85c6faa · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 91

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source=pdf_text observed=2026-08-07T12:59:30.930508Z digest=sha256:259ba22cd32e60b9f6b439ee60fe0edee79550b3d08d9bfb909b6a3dca135af6

Observation bd5f39c7-82a0-47e5-b052-e528720b64c1 · outbound

This paper cites You can choose to add one or two cues.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge You can choose to add one or two cues

Reference 92

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source=pdf_text observed=2026-08-07T12:59:31.014314Z digest=sha256:1e5a60924d5b9bb90cc4f22d2a42fe95beaa0b7b2b10255d160919b218540f85

Observation 1858efc9-911b-4ab5-b37c-765be498ba55 · outbound

This paper cites Novel cues are preferred but not required.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Novel cues are preferred but not required

Reference 93

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source=pdf_text observed=2026-08-07T12:59:31.102992Z digest=sha256:47aa363eac888921583bf587d2b75d4cf70e56c51dfa5d7e49b4ce1f09453696

Observation f67d7969-9178-494d-9f0b-9aaccde3ca9e · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 94

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source=pdf_text observed=2026-08-07T12:59:31.254564Z digest=sha256:bd8b7acf9b21c42699d985fcad356a4098c8bb349a047486411ff4e505b5ed12

Observation be46df3a-8210-4036-b6ff-fe2477a8631e · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 95

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source=pdf_text observed=2026-08-07T12:59:31.348771Z digest=sha256:7d53a5e6b6aef8c5f72252a310baeed63ed67275c99ffaf44c486b28d031b0c8

Observation 6d52ea3c-92b3-462d-bfe4-ed5cf0beed83 · outbound

This paper cites Emotions.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Emotions

Reference 96

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source=pdf_text observed=2026-08-07T12:59:31.455382Z digest=sha256:ea56e33760705daccba6fa226e8bf9ad8e7616c024e54cece993613e3663e0e8

Observation e63bf173-1c7e-4182-8758-33248d42e2ba · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 97

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source=pdf_text observed=2026-08-07T12:59:31.525274Z digest=sha256:ae46030a9d4fb82bf6492cf8ba1ac71674b033205b64de5f24f45d33e657d8f4

Observation 9031e647-fa41-4c74-b652-45290ba6fafc · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 98

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source=pdf_text observed=2026-08-07T12:59:31.621426Z digest=sha256:06532f354c4619aa17558cbfcc07441e1b86ada1190a9fb5440880d7a4b4a434

Observation ae44ed3c-3996-4870-989b-19228291633b · outbound

This paper cites 24 The main goals for the set are:.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge 24 The main goals for the set are:

Reference 99

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source=pdf_text observed=2026-08-07T12:59:31.721052Z digest=sha256:19af71bd6240b2931ea56d8c6a573a69a1a778b7fc0e62e66457c52a1fd58715

Observation 379279bb-1331-4267-a387-cb229366b3d3 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 100

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source=pdf_text observed=2026-08-07T12:59:31.890385Z digest=sha256:d192932edf9f809d0e7b746d36403aef746ffd9a6e66647a619876b705d7d279

Observation bdb7ddf5-6f8b-430b-9cbb-9497568f9ca8 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 101

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source=pdf_text observed=2026-08-07T12:59:32.018235Z digest=sha256:7ddcef5eaec9453df419b7d69f28233a102f2c89766726991dc2416dbd8ef0b9

Observation 5c323fcf-5f3e-4d01-a271-85252a4d8d4c · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 102

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source=pdf_text observed=2026-08-07T12:59:32.134190Z digest=sha256:d060564fc4188933ad23e6c82061a3cff67cbc8cf1411c4f76f335d70fb6fbda

Observation 9a3c38c9-0dcb-44fd-b6f1-0be4796b789b · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 103

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source=pdf_text observed=2026-08-07T12:59:32.308858Z digest=sha256:2c9c2bb2c8d902011e2899becc14568d533cd760540994ef9366c6aa0ceb3ee1

Observation 9f6c2e27-0f66-4f69-8bd8-ec35d2275932 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 104

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source=pdf_text observed=2026-08-07T12:59:32.450042Z digest=sha256:fc690862000ee9ae8585b3cac8948d8312b749f6f1916ad290c63672366ac0ae

Pith citing papers

Observation 1720360c-be05-4b3c-8acb-315ef8069e53 · inbound

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations cites this paper.

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge

Reference 252

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source=pdf_text observed=2026-08-07T10:17:47.141942Z digest=sha256:5f12ad4229538f8d25ad2984f6fb090fbebac5bd4baf2ce646844bc28dfa74d6

Observation 493cbbe6-407d-4264-9cb9-17e1b0a7a46d · inbound

JWB-DH-V1: Benchmark for Joint Whole-Body Talking Avatar and Speech Generation Version 1 cites this paper.

JWB-DH-V1: Benchmark for Joint Whole-Body Talking Avatar and Speech Generation Version 1 EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge

Reference 22

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source=pdf_text observed=2026-08-06T13:07:28.375424Z digest=sha256:3c63c8b1b7f2ae4b725c515f914709a3b2c74ed39ea40ea0cefed95a94bb2c9c

Observation d0e91133-3db1-4960-854b-26a42633524b · inbound

MINT-Bench: A Comprehensive Multilingual Benchmark for Instruction-Following Text-to-Speech cites this paper.

MINT-Bench: A Comprehensive Multilingual Benchmark for Instruction-Following Text-to-Speech EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge

Reference 24

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verified exact
arxiv_id, observed 2026-05-10T04:04:47.233152Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T04:03:38.919545Z digest=sha256:3d382562947ea021b993a36ac5f463abb93c41ad037d52e757052bdf525a0454

Observation 47f0cad7-3779-472f-9023-bb7ba3939043 · inbound

LuxEmo: Expressive Text-to-Speech Corpus for Luxembourgish cites this paper.

LuxEmo: Expressive Text-to-Speech Corpus for Luxembourgish EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge

Reference 39

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arxiv_id, observed 2026-07-01T10:15:45.044627Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-01T05:38:16.224617Z digest=sha256:7f5b2596406652033e4aba0632c04e1a33251b016f9dc121afd312d339025690

Observation d07e2531-2480-4c73-9dc0-07dc61c8b4c1 · inbound

LuxEmo: Expressive Text-to-Speech Corpus for Luxembourgish cites this paper.

LuxEmo: Expressive Text-to-Speech Corpus for Luxembourgish EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge

Reference 40

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verified exact
arxiv_id, observed 2026-07-03T21:58:58.317517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-03T21:56:41.303269Z digest=sha256:7022e093232c7348434ab9ca3feab057bdfaf9a298caa0efb486142403f6f2c9

Observation 15e196c1-fbef-4c31-8ffd-053bb8c9b494 · inbound

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems cites this paper.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge

Reference 17

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source=pdf_text observed=2026-08-02T00:57:37.747884Z digest=sha256:99b5571c15fbdcadd9d1d5817c8f532d7dec4efcca9aa1bb7fb865469665d157

Observation f71b31b5-6633-4897-8a5c-2ae7d83e2859 · inbound

SemBridge: Semantic Token Anchoring for Continuous-Latent Autoregressive Speech Generation cites this paper.

SemBridge: Semantic Token Anchoring for Continuous-Latent Autoregressive Speech Generation EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-10T04:20:42.015534Z

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source=arxiv_source observed=2026-08-10T04:20:42.015534Z digest=sha256:159c659205abcc5a4770917e1496f11937f79e1a526195ab20753ec062a9f5fe