Paper Citation Record · LEDGER

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information

As of 15 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2505.15667.

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

pith.paper-citation-record.v1
2505.15667 v1

Coverage vector

measured 43 of 43 reference resolution

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measured 44 of 44 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:16:42.871348Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:16:45.530174Z

Reference resolution

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Observation 5c1a7c5a-f82f-48c0-99d1-dadd05f77c3e · outbound

This paper cites an unresolved cited work.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Unresolved cited work

Reference 1

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Observation c65e3999-5a0d-403a-9d95-7cd30b799efe · outbound

This paper cites Are you kidding me?!.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Are you kidding me?!

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:49.909689Z

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Observation 9bbcac71-74b0-4c85-aebf-96dc035cd577 · outbound

This paper cites Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information

Reference 3

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Observation 88a1359c-8961-4727-9298-ab4f85eb3114 · outbound

This paper cites Segmentation-Variant Codebooks We encode speech into continuous representations using the frozen HuBERT-large model [17].

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Segmentation-Variant Codebooks We encode speech into continuous representations using the frozen HuBERT-large model [17]

Reference 4

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This paper cites Datasets and Alignment Process Naver Prosody Control [21] is a dataset designed for study- ing prosody control in TTS systems.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Datasets and Alignment Process Naver Prosody Control [21] is a dataset designed for study- ing prosody control in TTS systems

Reference 5

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Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Unresolved cited work

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Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Unresolved cited work

Reference 7

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Observation 0db052a4-8a80-459f-a483-56bdb38dbcff · outbound

This paper cites The higher the score, the better.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information The higher the score, the better

Reference 8

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This paper cites This study contributes to ongoing research on the use of DSUs, demonstrating their po- tential in speech representation learning and downstream tasks.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information This study contributes to ongoing research on the use of DSUs, demonstrating their po- tential in speech representation learning and downstream tasks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:48.689125Z

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Observation 88d2db23-b85e-426a-9398-377d80e93580 · outbound

This paper cites an unresolved cited work.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Unresolved cited work

Reference 10

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Observation 3f653aa5-3026-4b40-a1f9-f0df0b20afb4 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,

Reference 11

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Observation 57c35fe4-7054-47c1-9511-7031d4396df1 · outbound

This paper cites Exploring speech recognition, translation, and understanding with discrete speech units: A com- parative study,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Exploring speech recognition, translation, and understanding with discrete speech units: A com- parative study,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:48.391693Z

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Observation 8b8bae58-1fa5-4470-8ac8-5a7e55fd40a7 · outbound

This paper cites On the use of self-supervised speech representations in spontaneous speech synthesis,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information On the use of self-supervised speech representations in spontaneous speech synthesis,

Reference 13

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Observation 35b2e03c-73d3-467e-af37-12c1cad7df1d · outbound

This paper cites Selecttts: Syn- thesizing anyone’s voice via discrete unit-based frame selection,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Selecttts: Syn- thesizing anyone’s voice via discrete unit-based frame selection,

Reference 14

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Observation 72b2e005-e738-4c3b-a928-d33964c18e1f · outbound

This paper cites Exploration of a self- supervised speech model: A study on emotional corpora,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Exploration of a self- supervised speech model: A study on emotional corpora,

Reference 15

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Observation b188d8a3-253b-459b-801c-2ca318becb79 · outbound

This paper cites Exploring Wav2vec 2.0 fine tun- ing for improved speech emotion recognition,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Exploring Wav2vec 2.0 fine tun- ing for improved speech emotion recognition,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:47.865776Z

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Observation d36e856a-ce21-4066-b3b0-096d6b906caa · outbound

This paper cites Layer-wise analysis of self-supervised acoustic word embeddings: A study on speech emotion recognition,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Layer-wise analysis of self-supervised acoustic word embeddings: A study on speech emotion recognition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:47.707895Z

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Observation d14d4f7f-73dd-4beb-aead-02aa54898e94 · outbound

This paper cites Crossmodal ASR error correc- tion with discrete speech units,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Crossmodal ASR error correc- tion with discrete speech units,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:47.557302Z

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Observation 9c85d235-3631-4b2a-8c01-d735bd2b04d9 · outbound

This paper cites DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding

Reference 19

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Observation 8c79a01d-fdc2-4364-a74b-257daa0a1297 · outbound

This paper cites Analyzing acoustic word embeddings from pre-trained self-supervised speech models,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Analyzing acoustic word embeddings from pre-trained self-supervised speech models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:47.423247Z

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Observation a11d4300-c46c-4f5a-90ea-c8b1a0c6d2a0 · outbound

This paper cites Ex- presso: A benchmark and analysis of discrete expressive speech resynthesis,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Ex- presso: A benchmark and analysis of discrete expressive speech resynthesis,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:47.278145Z

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Observation 6b5ad4b3-752d-4953-a95f-8457fd82eab2 · outbound

This paper cites Emo-codec: An in-depth look at emotion preservation capacity of legacy and neural codec models with subjective and objective evaluations,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Emo-codec: An in-depth look at emotion preservation capacity of legacy and neural codec models with subjective and objective evaluations,

Reference 22

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Observation bbf3e34f-2dda-491a-a99d-b68783173e64 · outbound

This paper cites Neural discrete represen- tation learning,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Neural discrete represen- tation learning,

Reference 23

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Observation 4c0be852-d92c-423b-88e8-88c50b532cce · outbound

This paper cites vq-wav2vec: Self- supervised learning of discrete speech representations,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information vq-wav2vec: Self- supervised learning of discrete speech representations,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:47.047351Z

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Observation 8eafc58b-0597-44a9-ac22-ff1ceba174d8 · outbound

This paper cites High Fidelity Neural Audio Compression.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information High Fidelity Neural Audio Compression

Reference 25

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Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Soundstream: An end-to-end neural audio codec,

Reference 26

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This paper cites Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,

Reference 27

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Observation a7b29f47-7768-4684-8867-28bd5bc6838c · outbound

This paper cites Phonetic analysis of self-supervised representations of english speech,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Phonetic analysis of self-supervised representations of english speech,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:46.901418Z

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This paper cites Analysing discrete self supervised speech representation for spoken language modeling,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Analysing discrete self supervised speech representation for spoken language modeling,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:46.791664Z

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Observation 89422f5a-da23-452f-81c1-21090ab9d992 · outbound

This paper cites The Interspeech 2024 Challenge on Speech Processing Using Discrete Units.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information The Interspeech 2024 Challenge on Speech Processing Using Discrete Units

Reference 30

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Observation 65ef997c-b806-4173-ae93-9404b37028de · outbound

This paper cites Controlling prosody in end-to-end TTS: A case study on contrastive focus generation,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Controlling prosody in end-to-end TTS: A case study on contrastive focus generation,

Reference 31

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Observation 11f3a1a4-3e78-4702-b64c-88b285f5efd8 · outbound

This paper cites IEMOCAP: Interactive emotional dyadic motion capture database,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information IEMOCAP: Interactive emotional dyadic motion capture database,

Reference 32

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This paper cites Montreal forced aligner: Trainable text-speech align- ment using Kaldi,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Montreal forced aligner: Trainable text-speech align- ment using Kaldi,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:46.487028Z

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Observation 1afc9f5f-e468-4347-ba72-1dba800550b7 · outbound

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Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information The HTK book,

Reference 34

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This paper cites k-means++: The advantages of careful seeding,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information k-means++: The advantages of careful seeding,

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This paper cites Hifi-gan: Generative adversarial net- works for efficient and high fidelity speech synthesis,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Hifi-gan: Generative adversarial net- works for efficient and high fidelity speech synthesis,

Reference 36

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This paper cites Su- perb: Speech processing universal performance benchmark,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Su- perb: Speech processing universal performance benchmark,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:46.199145Z

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This paper cites A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding

Reference 38

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Observation 910719cb-7426-431a-a585-091dc3b4fa4f · outbound

This paper cites Speech emotion di- arization: Which emotion appears when?.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Speech emotion di- arization: Which emotion appears when?

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:46.101884Z

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Observation 88baefd7-917e-467f-99c3-cda2827ab1bc · outbound

This paper cites EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in Speech-to-Speech Models.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in Speech-to-Speech Models

Reference 40

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This paper cites UTMOS: UTokyo-SaruLab system for voice- mos challenge 2022,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information UTMOS: UTokyo-SaruLab system for voice- mos challenge 2022,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:45.932575Z

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Observation a6a144a5-47dc-4424-ac23-037deb7e233c · outbound

This paper cites A layer-wise analysis of man- darin and english suprasegmentals in ssl speech models,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information A layer-wise analysis of man- darin and english suprasegmentals in ssl speech models,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:45.774824Z

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Observation ad4fea51-e328-4b6c-84fe-4195775c3f69 · outbound

This paper cites blind speech segmentation: au- tomatic segmentation of speech without linguistic knowledge,.

Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information blind speech segmentation: au- tomatic segmentation of speech without linguistic knowledge,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:16:45.662287Z

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Pith citing papers

Observation 9bbcac71-74b0-4c85-aebf-96dc035cd577 · inbound