Paper Citation Record · LEDGER

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron

As of 21 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2501.05976.

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

pith.paper-citation-record.v1
2501.05976 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:11:16.084748Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy29
unresolved4
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9cb475c2-865e-4818-a046-f609e51c258e · outbound

This paper cites FastSpeech: Fast, robust and controllable text-to-speech,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron FastSpeech: Fast, robust and controllable text-to-speech,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:17.391706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e550103e-40f2-4192-b292-12f067f5c9d8 · outbound

This paper cites FastSpeech 2: Fast and high-quality end-to-end text-to-speech,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron FastSpeech 2: Fast and high-quality end-to-end text-to-speech,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:17.369492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 08305571-d8c9-4e53-b61a-7d6e9a26ab0b · outbound

This paper cites ForwardTacotron,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron ForwardTacotron,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:17.347900Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a8900656-c7ce-4026-90c5-a0b34e2b6f18 · outbound

This paper cites Fastpitch: Parallel text-to-speech with pitch prediction,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron Fastpitch: Parallel text-to-speech with pitch prediction,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:17.327544Z

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Observation 641ca97e-adcf-4e53-817f-ed3555290aa9 · outbound

This paper cites A lightweight neural TTS system for high-quality German speech synthesis,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron A lightweight neural TTS system for high-quality German speech synthesis,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:17.309870Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eeee3112-4389-4c7b-b972-4aa78d487921 · outbound

This paper cites YourTTS: Towards zero-shot multi-speaker TTS and zero- shot voice conversion for everyone,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron YourTTS: Towards zero-shot multi-speaker TTS and zero- shot voice conversion for everyone,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:17.293526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06087c3f-9f4c-4b7e-a902-b7952bf232b7 · outbound

This paper cites HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesis.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesis

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:15.815810Z

Source-reported events for the cited work

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Observation cbb4dbda-e511-49d6-b359-e49ad0e88437 · outbound

This paper cites Generalizable zero-shot speaker adaptive speech synthesis with disentangled representations,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron Generalizable zero-shot speaker adaptive speech synthesis with disentangled representations,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:17.273642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2c6fda88-9afd-4f97-832c-2f64403ead43 · outbound

This paper cites Adapter-based extension of multi-speaker text-to-speech model for new speakers,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron Adapter-based extension of multi-speaker text-to-speech model for new speakers,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:17.251458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ae08aa93-9168-4028-8d23-7353cca51748 · outbound

This paper cites AdapterMix: Exploring the efficacy of mixture of adapters for low-resource TTS adaptation,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron AdapterMix: Exploring the efficacy of mixture of adapters for low-resource TTS adaptation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:17.231740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a6b84c5c-ae4c-435d-b419-bdfab67e7a59 · outbound

This paper cites CSTR VCTK Corpus: En- glish multi-speaker corpus for CSTR voice cloning toolkit (version 0.92), [sound].

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron CSTR VCTK Corpus: En- glish multi-speaker corpus for CSTR voice cloning toolkit (version 0.92), [sound]

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:17.199433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 66c92f42-e3b9-4283-97de-061d24cd15c6 · outbound

This paper cites LibriTTS: A corpus derived from LibriSpeech for text-to- speech,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron LibriTTS: A corpus derived from LibriSpeech for text-to- speech,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:17.163258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06850836-222e-4b27-806a-cfe1e916d67b · outbound

This paper cites StrawNet: Self-training WaveNet for TTS in low-data regimes,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron StrawNet: Self-training WaveNet for TTS in low-data regimes,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:17.103582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2e54ce99-4bae-4b4e-8c5d-ab6466795802 · outbound

This paper cites Non-autoregressive TTS with explicit duration modelling for low-resource highly expressive speech,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron Non-autoregressive TTS with explicit duration modelling for low-resource highly expressive speech,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:17.074177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 76e6c3c6-f857-4c3f-b770-488cda2fb789 · outbound

This paper cites Low-resource expressive text-to-speech using data augmen- tation,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron Low-resource expressive text-to-speech using data augmen- tation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:17.054443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e4eb61d5-28e9-4bf7-bc46-d1dc6d3ee8c1 · outbound

This paper cites Distribution augmentation for low-resource expressive Text-To-Speech,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron Distribution augmentation for low-resource expressive Text-To-Speech,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:17.015344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1f71721c-185c-4a0c-bee3-fba22567de7b · outbound

This paper cites Noise Robust TTS for Low Resource Speakers using Pre-trained Model and Speech Enhancement.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron Noise Robust TTS for Low Resource Speakers using Pre-trained Model and Speech Enhancement

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:11:16.331217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8ae66709-642f-4917-8a8b-3662b6ca5ed6 · outbound

This paper cites Low-resource text-to- speech using specific data and noise augmentation,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron Low-resource text-to- speech using specific data and noise augmentation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:16.975121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fed1c44c-54f1-4c8d-a738-e3d328398778 · outbound

This paper cites Tacotron: Towards end-to-end speech synthesis,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron Tacotron: Towards end-to-end speech synthesis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:16.938325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 98d10fba-8ca0-4520-a5ff-827fe6d718f1 · outbound

This paper cites StyleMelGAN: An efficient high- fidelity adversarial vocoder with temporal adaptive normalization,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron StyleMelGAN: An efficient high- fidelity adversarial vocoder with temporal adaptive normalization,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:16.919788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b1f51b94-1b72-4db4-b58a-db312c2ead35 · outbound

This paper cites The AudioLabs system for the Blizzard Challenge 2023,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron The AudioLabs system for the Blizzard Challenge 2023,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:16.854750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b36436f-62d3-4fca-8a15-e2cd0d7816d4 · outbound

This paper cites A systematic study of the class imbalance problem in convolutional neural networks,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron A systematic study of the class imbalance problem in convolutional neural networks,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:15.934919Z

Source-reported events for the cited work

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Observation 1113f6ac-7ffe-4457-9518-c36216d79819 · outbound

This paper cites WhisperX: Time-accurate speech transcription of long-form audio,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron WhisperX: Time-accurate speech transcription of long-form audio,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:16.810081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eb146d00-dece-49c3-9e9d-fa36309227aa · outbound

This paper cites The LJ speech dataset,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron The LJ speech dataset,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:15.971937Z

Source-reported events for the cited work

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Observation b581c050-6b83-419b-9e2f-84530229a257 · outbound

This paper cites TC-STAR: Spec- ifications of language resources and evaluation for speech synthesis,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron TC-STAR: Spec- ifications of language resources and evaluation for speech synthesis,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:16.762352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 28755a03-429d-46ae-8667-0a7b6c718435 · outbound

This paper cites Hi-Fi multi- speaker english TTS dataset,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron Hi-Fi multi- speaker english TTS dataset,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:16.723528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b2019b4-48ca-4fd4-a872-aaf1894a8db6 · outbound

This paper cites P. 56, objective measurement of active speech level,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron P. 56, objective measurement of active speech level,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:16.700260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e815e595-5979-4381-ab8e-86258c5d5204 · outbound

This paper cites Subjective evaluation of text-to-speech models: Comparing absolute category rating and ranking by elimination tests,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron Subjective evaluation of text-to-speech models: Comparing absolute category rating and ranking by elimination tests,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:16.663838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 30159bff-5563-4abb-83d8-254187a5db4d · outbound

This paper cites ECAPA-TDNN: Emphasized channel attention, propagation and aggregation in TDNN based speaker verification,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron ECAPA-TDNN: Emphasized channel attention, propagation and aggregation in TDNN based speaker verification,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:16.615597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1256c617-1d5b-4bee-b111-affdc796ffa8 · outbound

This paper cites SpeechBrain: A General-Purpose Speech Toolkit.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron SpeechBrain: A General-Purpose Speech Toolkit

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:16.034748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0af6cdfc-9bfe-4746-987b-c3153076eb06 · outbound

This paper cites Towards the next generation of web-based experiments: A case study assessing basic audio quality following the ITU-R recommendation BS.1534 (MUSHRA),.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron Towards the next generation of web-based experiments: A case study assessing basic audio quality following the ITU-R recommendation BS.1534 (MUSHRA),

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:16.591609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ace5e819-02ff-4fae-ae04-2cbb941b8a26 · outbound

This paper cites P. 808, Subjective evaluation of speech quality with a crowdsourcing approach,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron P. 808, Subjective evaluation of speech quality with a crowdsourcing approach,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:16.570997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 66a1c1d4-43df-4ef7-865a-2ca2977d5085 · outbound

This paper cites Refining the evaluation of speech synthesis: A summary of the blizzard challenge 2023,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron Refining the evaluation of speech synthesis: A summary of the blizzard challenge 2023,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:16.528054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2edcc4ae-9673-4bbe-9100-8b42020a39c9 · outbound

This paper cites IEEE recommended practice for speech quality measurements,.

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron IEEE recommended practice for speech quality measurements,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:16.445586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.