Paper Citation Record · LEDGER

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model

As of 14 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2412.03074.

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

pith.paper-citation-record.v1
2412.03074 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:51:50.050472Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

30 of 30 outbound references displayed

verified exact1
verified fuzzy15
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 28aeab77-1755-46f0-a88a-d109bc6cc833 · outbound

This paper cites A Brief Overview of Unsupervised Neural Speech Representation Learning.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model A Brief Overview of Unsupervised Neural Speech Representation Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T22:51:49.884332Z

Source-reported events for the cited work

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Observation 24e6162f-c0ef-409a-837a-d5076b57dfee · outbound

This paper cites Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T22:51:49.890550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff9c97c0-aaa2-497e-b7b9-dd602b6bb6bc · outbound

This paper cites FastSpeech 2: Fast and High-Quality End-to-End Text to Speech.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T22:51:49.895990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2596427f-2627-40a1-8ddc-01f464ec602d · outbound

This paper cites Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech,.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:51:50.610616Z

Source-reported events for the cited work

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Observation 6b041915-aab1-493c-951d-0ce34066dfd5 · outbound

This paper cites Natural TTS synthesis by conditioning Wavenet on mel-spectrogram predictions,.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model Natural TTS synthesis by conditioning Wavenet on mel-spectrogram predictions,

Reference 5

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Source-reported events for the cited work

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Observation 4914c130-3b3c-4289-a90b-8357c6324bc6 · outbound

This paper cites On generative spoken language modeling from raw audio,.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model On generative spoken language modeling from raw audio,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T22:51:49.912368Z

Source-reported events for the cited work

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Observation c9f2b912-7f0a-48b6-8c94-7df3355f3f90 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model Representation Learning with Contrastive Predictive Coding

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T22:51:49.918052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fd38301-1d33-4570-8c13-dad36764ceb5 · outbound

This paper cites Wav2vec 2.0: A framework for self-supervised learning of speech representations,.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model Wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T22:51:49.926589Z

Source-reported events for the cited work

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Observation a807a468-54ee-468e-a89b-502e821a3a4e · outbound

This paper cites HuBERT: Self- supervised speech representation learning by masked prediction of hidden units,.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model HuBERT: Self- supervised speech representation learning by masked prediction of hidden units,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T22:51:49.932289Z

Source-reported events for the cited work

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Observation 424690e8-0ec4-49c8-bbfc-5cd567793e8c · outbound

This paper cites Attention is all you need,.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model Attention is all you need,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:51:50.532944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 62613339-6e88-422d-b6f7-bb67e2a1afbc · outbound

This paper cites The Zero Resource Speech Challenge 2020: Discovering Discrete Subword and Word Units,.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model The Zero Resource Speech Challenge 2020: Discovering Discrete Subword and Word Units,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:51:50.513108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 426bac3e-2054-43a0-9b94-25b6876fb6bf · outbound

This paper cites The zero resource speech challenge 2021: Spoken language mod- elling,.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model The zero resource speech challenge 2021: Spoken language mod- elling,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:51:50.494312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9e2a6a93-268c-4b36-aaeb-7d701ee17560 · outbound

This paper cites Self- supervised language learning from raw audio: Lessons from the zero resource speech challenge,.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model Self- supervised language learning from raw audio: Lessons from the zero resource speech challenge,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:51:50.476981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation afa51aa1-87a9-461f-9db8-b84826267a1a · outbound

This paper cites A comparison of discrete and soft speech units for improved voice conversion,.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model A comparison of discrete and soft speech units for improved voice conversion,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:51:50.457515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b10deed6-9dcb-4f28-95ce-5f99ed039354 · outbound

This paper cites Textless direct speech-to- speech translation with discrete speech representation,.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model Textless direct speech-to- speech translation with discrete speech representation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:51:50.436813Z

Source-reported events for the cited work

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Observation af9ee82f-fc6c-41e9-8eba-ca1a7d11538d · outbound

This paper cites UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data,.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:51:50.414008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation be39764a-d380-48bb-bc88-d67353c8bfb5 · outbound

This paper cites LibriSpeech: An ASR corpus based on public domain audio books,.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model LibriSpeech: An ASR corpus based on public domain audio books,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:51:50.394880Z

Source-reported events for the cited work

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Observation 3b8d78e1-02aa-4d7d-9084-518504527449 · outbound

This paper cites Ito and L.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model Ito and L

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:51:50.373300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 26165c73-cf25-42f4-95ea-76ade09ae3eb · outbound

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Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model Unresolved cited work

Reference 19

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Observation 9af1f3d6-57ea-4a1c-979a-6a410715f544 · outbound

This paper cites JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis

Reference 20

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Source-reported events for the cited work

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Observation aba34485-f38b-4812-a5ff-9bf6ab45dbce · outbound

This paper cites JVS corpus: free Japanese multi-speaker voice corpus.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model JVS corpus: free Japanese multi-speaker voice corpus

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T22:51:50.005341Z

Source-reported events for the cited work

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Observation 084663e5-cfc0-46c9-b2b8-d3d1fff071c9 · outbound

This paper cites Audio- book speech synthesis conditioned by cross-sentence context-aware word embeddings,.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model Audio- book speech synthesis conditioned by cross-sentence context-aware word embeddings,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T22:51:50.011574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 904682ab-e720-4882-9125-c6a52e1496ea · outbound

This paper cites J-MAC: Japanese multi-speaker audiobook corpus for speech synthesis,.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model J-MAC: Japanese multi-speaker audiobook corpus for speech synthesis,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:51:50.323938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 27ce4de1-9389-43c3-ae3a-80f37022a628 · outbound

This paper cites Radford, K.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model Radford, K

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b2727b2-2a2b-486f-a526-48cf884fe8a8 · outbound

This paper cites Investi- gation of robustness of hubert features from different layers to domain, accent and language variations,.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model Investi- gation of robustness of hubert features from different layers to domain, accent and language variations,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:51:50.294196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation af4827dd-6f50-4f16-99e2-0a9732380725 · outbound

This paper cites ContentVec: An improved self-supervised speech representation by dis- entangling speakers,.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model ContentVec: An improved self-supervised speech representation by dis- entangling speakers,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:51:50.277654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c61e9b87-1dbc-4368-81d9-e557c5c21a8c · outbound

This paper cites JSSS: free Japanese speech corpus for summarization and simplification.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model JSSS: free Japanese speech corpus for summarization and simplification

Reference 27

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Source-reported events for the cited work

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Observation 3828493d-eb62-45b8-a824-91f186f82db4 · outbound

This paper cites Universal phone recognition with a multilingual allophone system,.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model Universal phone recognition with a multilingual allophone system,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:51:50.258903Z

Source-reported events for the cited work

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Observation 7aa3af17-3970-46e3-8975-52bbd7399cf4 · outbound

This paper cites Speech quality assessment with W ARP-Q: From sim- ilarity to subsequence dynamic time warp cost,.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model Speech quality assessment with W ARP-Q: From sim- ilarity to subsequence dynamic time warp cost,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:51:50.240815Z

Source-reported events for the cited work

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Observation a362ed75-5413-4e62-9c3f-f8c4e3014f7f · outbound

This paper cites an unresolved cited work.

Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model Unresolved cited work

Reference 3042

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.