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Paper Citation Record · LEDGER

Learning Neural Vocoder from Range-Null Space Decomposition

As of 18 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2507.20731.

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

pith.paper-citation-record.v1
2507.20731 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:26:14.549676Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

47 of 47 outbound references displayed

  • verified exact2
  • verified fuzzy40
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 45713402-8499-4e56-bfc8-317cf8eb9f88 · outbound

This paper cites APNet: An all-frame-level neural vocoder incorporating direct prediction of amplitude and phase spectra.IEEE/ACM Trans.

Learning Neural Vocoder from Range-Null Space Decomposition APNet: An all-frame-level neural vocoder incorporating direct prediction of amplitude and phase spectra.IEEE/ACM Trans

Reference 1

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raw_fallback, observed 2026-08-06T13:26:15.422750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6de55948-0919-4fed-812e-50335bd5eee7 · outbound

This paper cites Model-based com- pressive sensing.IEEE Trans.

Learning Neural Vocoder from Range-Null Space Decomposition Model-based com- pressive sensing.IEEE Trans

Reference 3

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raw_fallback, observed 2026-08-06T13:26:15.391987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.354052Z digest=sha256:a946f2d2804a5968e04fda13d929f1494fc4d6da53c2a3d3a7ea572fde552c9a

Observation 55dd592a-af43-4582-912e-6383ae462bcb · outbound

This paper cites Delving Deep into Rectifiers: Sur- passing Human-Level Performance on Imagenet Classifi- cation.

Learning Neural Vocoder from Range-Null Space Decomposition Delving Deep into Rectifiers: Sur- passing Human-Level Performance on Imagenet Classifi- cation

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.373542Z digest=sha256:8139a1b43e3085a4bacdeb950500e31d335c929fd7107b4db9d092b860adbea1

Observation 9a5b7df9-ddc3-42fe-9bbf-695f9f8e13db · outbound

This paper cites Glotnet—a raw waveform model for the glottal excitation in statistical parametric speech synthesis.IEEE/ACM Trans.

Learning Neural Vocoder from Range-Null Space Decomposition Glotnet—a raw waveform model for the glottal excitation in statistical parametric speech synthesis.IEEE/ACM Trans

Reference 10

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raw_fallback, observed 2026-08-06T13:26:15.303832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.387899Z digest=sha256:1fe2acb2a6d31a0667061e081f3f4ad52c6771c7d56d4568d5c3e60b19c37e6b

Observation 82327e7e-7f8e-4654-a460-420246f58f75 · outbound

This paper cites STRAIGHT, exploita- tion of the other aspect of VOCODER: Perceptually iso- morphic decomposition of speech sounds.Acoustical sci- ence and technology, 27(6):349–353,.

Learning Neural Vocoder from Range-Null Space Decomposition STRAIGHT, exploita- tion of the other aspect of VOCODER: Perceptually iso- morphic decomposition of speech sounds.Acoustical sci- ence and technology, 27(6):349–353,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T13:26:15.260202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.402268Z digest=sha256:1010aa3fba23f7fa8b8a9ec5dc77d4b03070725c4a859cf1e0164adc8b20b313

Observation 88397b86-d22e-4e43-b0ba-968cdb906d97 · outbound

This paper cites Hifi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis.

Learning Neural Vocoder from Range-Null Space Decomposition Hifi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis

Reference 16

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raw_fallback, observed 2026-08-06T13:26:15.213027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.415389Z digest=sha256:c7c504987e8b21a0a7ce19975a12da08a6f4c3a53336a34cfc1d0445bb9d069d

Observation 719bf50a-8a25-4474-977f-e2ce7d7ce9b8 · outbound

This paper cites BeaqleJS: HTML5 and JavaScript based framework for the subjective evaluation of audio quality.

Learning Neural Vocoder from Range-Null Space Decomposition BeaqleJS: HTML5 and JavaScript based framework for the subjective evaluation of audio quality

Reference 18

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raw_fallback, observed 2026-08-06T13:26:15.179870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.424352Z digest=sha256:7995d9cd1f0dede22132bdf0445ef9cccb64ce6d36df4189f78226000d64305b

Observation ac45b788-b54f-4584-96c5-e929b48c3b87 · outbound

This paper cites PriorGrad: Improv- ing Conditional Denoising Diffusion Models with Data- Dependent Adaptive Prior.

Learning Neural Vocoder from Range-Null Space Decomposition PriorGrad: Improv- ing Conditional Denoising Diffusion Models with Data- Dependent Adaptive Prior

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-06T13:26:15.133831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.438281Z digest=sha256:4263e263092244ff59d868f641abd15e5177bd64e52b20bdcc5386d7c6c7403e

Observation 5a4a4da2-3c79-4061-9158-97487c9b18a8 · outbound

This paper cites BigVGAN: A Uni- versal Neural Vocoder with Large-Scale Training.

Learning Neural Vocoder from Range-Null Space Decomposition BigVGAN: A Uni- versal Neural Vocoder with Large-Scale Training

Reference 22

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raw_fallback, observed 2026-08-06T13:26:15.118512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.442632Z digest=sha256:aad910df03fd92bf622a23a2b90accf7e5fc7758a86d739ab27bc0a4ebd828b3

Observation 5a8e739a-549c-4ceb-b4cf-432bac75273c · outbound

This paper cites Layer normalization.ArXiv e-prints, pages arXiv–1607,.

Learning Neural Vocoder from Range-Null Space Decomposition Layer normalization.ArXiv e-prints, pages arXiv–1607,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.447098Z digest=sha256:be9a46263b348606cc768fbdd51ea198b4e7096e5c5f8cfa2db64c6b3c2b35bd

Observation caa02a96-fc81-4746-832a-0edcf08c8d97 · outbound

This paper cites Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement.

Learning Neural Vocoder from Range-Null Space Decomposition Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement

Reference 24

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raw_fallback, observed 2026-08-06T13:26:15.088466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.451091Z digest=sha256:6a3bd5d6731396a4bf650790a7f436ca4f488b2070e3d4d411b96215e42aa71e

Observation be508643-0f5c-4216-9195-6bd4526e9ed7 · outbound

This paper cites Neural Vocoders as Speech Enhancers.

Learning Neural Vocoder from Range-Null Space Decomposition Neural Vocoders as Speech Enhancers

Reference 25

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verified exact
local_arxiv, observed 2026-08-06T13:26:14.670112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.455424Z digest=sha256:737d3cb8c8683ce816f403b0f0f84fcd4f721f6bd24baff2e0c649e982ca8880

Observation 6296bffa-a6e5-42ed-9687-d3fbf57bc442 · outbound

This paper cites Decoupled Weight Decay Regularization.

Learning Neural Vocoder from Range-Null Space Decomposition Decoupled Weight Decay Regularization

Reference 27

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unresolved
no resolver link, observed 2026-08-06T13:26:14.464188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:26:14.464188Z digest=sha256:708a6bf4541461361e0602b14c22e0daaee8a0918880959a9b0b39cf47b77b74

Observation aace0835-d35d-4434-83fb-c8dfc1e276d7 · outbound

This paper cites DPM-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Proc.

Learning Neural Vocoder from Range-Null Space Decomposition DPM-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Proc

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-06T13:26:14.943599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.468674Z digest=sha256:0a2955aad9873c451c98ef85bbce3eeaeb13aa4bc395e6a5b27a4d0b2166e0a3

Observation 867d3e0c-2c10-4748-83dd-b5c511e2fd02 · outbound

This paper cites FreeV: Free Lunch For Vocoders Through Pseudo Inversed Mel Filter.

Learning Neural Vocoder from Range-Null Space Decomposition FreeV: Free Lunch For Vocoders Through Pseudo Inversed Mel Filter

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-06T13:26:14.929754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.473087Z digest=sha256:de126ed2d448515bf7492ae50e4f20fd34d02b3ce8d18a8e1beef1e7343ed49c

Observation 4bbdcf0f-af6f-4b32-b18f-7a5edad747bb · outbound

This paper cites Chunked Autoregressive GAN for Condi- tional Waveform Synthesis.

Learning Neural Vocoder from Range-Null Space Decomposition Chunked Autoregressive GAN for Condi- tional Waveform Synthesis

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T13:26:14.901363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.481888Z digest=sha256:1243f3c68550b9434f120226404319f28d044e1f43fac4e80833c6dd6aca71dc

Observation 465c7048-4581-472c-ba01-74e2e414b862 · outbound

This paper cites Parallel wavenet: Fast high-fidelity speech synthesis.

Learning Neural Vocoder from Range-Null Space Decomposition Parallel wavenet: Fast high-fidelity speech synthesis

Reference 32

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raw_fallback, observed 2026-08-06T13:26:14.887060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.486337Z digest=sha256:eae5c1bb86bdfe8dec42d525620fe3ecc6faa78f7874d88fc0113040b32be533

Observation de54dc46-ae97-4256-bf04-c66d68342186 · outbound

This paper cites Waveflow: A compact flow-based model for raw audio.

Learning Neural Vocoder from Range-Null Space Decomposition Waveflow: A compact flow-based model for raw audio

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.490424Z digest=sha256:dc8271e97a861780ebb3ca7e69e15c4bb8268a7331600a6eb8d2981f75f31b93

Observation e53974d5-9410-41a9-817b-79c6d49f24f5 · outbound

This paper cites Waveglow: A flow-based generative network for speech synthesis.

Learning Neural Vocoder from Range-Null Space Decomposition Waveglow: A flow-based generative network for speech synthesis

Reference 34

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raw_fallback, observed 2026-08-06T13:26:14.858710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.494525Z digest=sha256:5e9b1154c84d2b1620f96792e7fae799066e176b0b1959b289a9e576ee809311

Observation 330fb22a-bc49-447a-bc55-1dea7448cadb · outbound

This paper cites Spa- tialNet: Extensively learning spatial information for multi- channel joint speech separation, denoising and dereverber- ation.IEEE/ACM Trans.

Learning Neural Vocoder from Range-Null Space Decomposition Spa- tialNet: Extensively learning spatial information for multi- channel joint speech separation, denoising and dereverber- ation.IEEE/ACM Trans

Reference 35

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raw_fallback, observed 2026-08-06T13:26:14.844865Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.498541Z digest=sha256:ceaf201e74bb2b1ce9abc1aa60dd1721e3f79d3ca1ee7eec9e37ec00d0092195

Observation de36f8a1-8015-45e1-be4a-57372f7d6c74 · outbound

This paper cites The MUSDB18 corpus for music separation.

Learning Neural Vocoder from Range-Null Space Decomposition The MUSDB18 corpus for music separation

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.502669Z digest=sha256:fc75ac53e516d2f224b11b111a722a4e752c481a92c96837d27e8efea94d8411

Observation 86085615-0a45-4200-a861-45864f0f14a0 · outbound

This paper cites Searching for Activation Functions.

Learning Neural Vocoder from Range-Null Space Decomposition Searching for Activation Functions

Reference 37

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unresolved
no resolver link, observed 2026-08-06T13:26:14.507027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:26:14.507027Z digest=sha256:d775d38ace8c6163d179cb11ccd200d2ada7fab8cc3d8341f4b2b0fa6447cbe5

Observation 723cfe4f-b746-40aa-ae72-f9454d10c4a6 · outbound

This paper cites an unresolved cited work.

Learning Neural Vocoder from Range-Null Space Decomposition Unresolved cited work

Reference 38

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unresolved
raw_fallback, observed 2026-08-06T13:26:14.814197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.511486Z digest=sha256:3e24da1f4b1caa3cb1a88f8843a5e67393c69e48f2faa8aa893ccf18675fd364

Observation c02338b9-6ce0-4fd2-9a2e-ba1f757c2936 · outbound

This paper cites LPCNet: Improving neural speech synthesis through linear prediction.

Learning Neural Vocoder from Range-Null Space Decomposition LPCNet: Improving neural speech synthesis through linear prediction

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-06T13:26:14.780969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.519972Z digest=sha256:a14f341a5cb51c3afd8f5cadc6e0780cc9c03f2f55c8c4270c48c5b85f0aefe1

Observation 4e735a85-a8e8-40af-9536-9e7f934f0a41 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

Learning Neural Vocoder from Range-Null Space Decomposition WaveNet: A Generative Model for Raw Audio

Reference 41

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unresolved
no resolver link, observed 2026-08-06T13:26:14.524371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:26:14.524371Z digest=sha256:b4c1c2fab334a1919de3359cc527591d7a772b76a5b222ac313ab52d80307d00

Observation a4eaca61-184b-4540-b0b8-0d108e7ebedc · outbound

This paper cites Tacotron: Towards End-to-End Speech Synthesis.

Learning Neural Vocoder from Range-Null Space Decomposition Tacotron: Towards End-to-End Speech Synthesis

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-06T13:26:14.764096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.528732Z digest=sha256:64e68a333126d28de27056ea8615e122c3d831cf0891c1f9d2a75fc71ba3bbb4

Observation 19d96469-630a-42c4-b449-a525ea37f188 · outbound

This paper cites Convnext v2: Co-designing and scaling convnets with masked autoencoders.

Learning Neural Vocoder from Range-Null Space Decomposition Convnext v2: Co-designing and scaling convnets with masked autoencoders

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:26:14.748599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.532712Z digest=sha256:24aec87bf3ad2cb040d0748da5ebf1912430dad89c989f9e7559bfd906ade9f2

Observation 56e9fa36-1b74-4b95-a75b-93e52e920a91 · outbound

This paper cites Parallel WaveGAN: A fast wave- form generation model based on generative adversarial networks with multi-resolution spectrogram.

Learning Neural Vocoder from Range-Null Space Decomposition Parallel WaveGAN: A fast wave- form generation model based on generative adversarial networks with multi-resolution spectrogram

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:26:14.733514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.536887Z digest=sha256:aeb30af15993a32a93015ee1536275309a2bbf88a691ecc06dd36144728616e6

Observation bee3090b-e9ee-4ac8-9c42-95c059db380e · outbound

This paper cites High Fidelity Speech En- hancement with Band-split RNN.

Learning Neural Vocoder from Range-Null Space Decomposition High Fidelity Speech En- hancement with Band-split RNN

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-06T13:26:14.716464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.541418Z digest=sha256:511ec5c1962eefa4d43a105388b0a2f6352eeb1f7b0e01398b4e93d5164ed609

Observation 6219f26f-3763-42a3-9a04-d45efe7a068a · outbound

This paper cites LibriTTS: A Corpus Derived from Lib- riSpeech for Text-to-Speech.

Learning Neural Vocoder from Range-Null Space Decomposition LibriTTS: A Corpus Derived from Lib- riSpeech for Text-to-Speech

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:26:14.701523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.545253Z digest=sha256:5804169894087db9d0012edc0d2f89b3b5c30741a590db0e15bc5edb7acd198f

Observation 5cbe7fa0-d40f-4fd4-a362-8547611e3d4a · outbound

This paper cites Mel-FullSubNet: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR.

Learning Neural Vocoder from Range-Null Space Decomposition Mel-FullSubNet: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:26:14.595014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.549676Z digest=sha256:5d1ce735b2ccdbf25f36af9d3721aa0a4eaa2555080a983331457d72be27e693

Observation 9180933e-9032-4091-980f-3582f17e9b64 · outbound

This paper cites Melgan: Generative adversarial networks for conditional waveform synthesis.Proc.

Learning Neural Vocoder from Range-Null Space Decomposition Melgan: Generative adversarial networks for conditional waveform synthesis.Proc

Reference 1993

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:26:15.149618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.433397Z digest=sha256:579debd02909cbe839752fabc161bafebfc03517a9e314676bbc79768e2ca09b

Observation 48ea0b8e-4437-4809-be1d-7198db1f380b · outbound

This paper cites V ocos: Closing the gap be- tween time-domain and fourier-based neural vocoders for high-quality audio synthesis.

Learning Neural Vocoder from Range-Null Space Decomposition V ocos: Closing the gap be- tween time-domain and fourier-based neural vocoders for high-quality audio synthesis

Reference 2005

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:26:14.797203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.515984Z digest=sha256:688e4abd7f6540a97431a4d05663976945aed41a94405d30724289b4077c4505

Observation 44ffcc98-378c-4e92-82c1-dded0c60ff06 · outbound

This paper cites Keith and J.

Learning Neural Vocoder from Range-Null Space Decomposition Keith and J

Reference 2006

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:26:15.245271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.406850Z digest=sha256:a5d0bdea640871c3cd8998a69dc6be00fefdb76ba22ae35df35cdf1571b78c9a

Observation 9214b87f-3ace-493f-a20b-2bdb34ddd1b6 · outbound

This paper cites WaveGrad: Estimating Gradients for Waveform Genera- tion.

Learning Neural Vocoder from Range-Null Space Decomposition WaveGrad: Estimating Gradients for Waveform Genera- tion

Reference 2010

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:26:15.377208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.358886Z digest=sha256:fbc82436829d496d41b2a31404366a9b870723ecf6ff63cb4117393e52df3459

Observation e7632655-3b72-4579-bb13-6d99b9fbbd0d · outbound

This paper cites Mel-cepstral distance measure for objective speech quality assessment.

Learning Neural Vocoder from Range-Null Space Decomposition Mel-cepstral distance measure for objective speech quality assessment

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:26:15.164396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.428905Z digest=sha256:74aa5af3640045f572977f538fbdf7fff6f9f2191c5bd0e360bf768126f706fa

Observation 615bcfb2-c0a0-4347-bf14-4b310ab4afc8 · outbound

This paper cites ViSQOL: an objective speech quality model.EURASIP J.

Learning Neural Vocoder from Range-Null Space Decomposition ViSQOL: an objective speech quality model.EURASIP J

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:26:15.332665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.377685Z digest=sha256:04ae407775d75398e4de6fc45fe43205dae93d529db96832d658f7c8b704cf75

Observation 286438f5-dcfc-4ed9-b7ed-57126413a775 · outbound

This paper cites APNet2: High-Quality and High- Efficiency Neural Vocoder with Direct Prediction of Am- plitude and Phase Spectra.

Learning Neural Vocoder from Range-Null Space Decomposition APNet2: High-Quality and High- Efficiency Neural Vocoder with Direct Prediction of Am- plitude and Phase Spectra

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:26:15.362629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.368418Z digest=sha256:8f350b7cb5114bfb02f49302575e3a0731fbdc18b8c0c1b43c09ad1b6da1cec9

Observation 2b44f548-57aa-4d3a-b3b4-8525f4ec27f4 · outbound

This paper cites [Kimet al., 2019 ] Sungwon Kim, Sang-gil Lee, Jongyoon Song, Jaehyeon Kim, and Sungroh Yoon.

Learning Neural Vocoder from Range-Null Space Decomposition [Kimet al., 2019 ] Sungwon Kim, Sang-gil Lee, Jongyoon Song, Jaehyeon Kim, and Sungroh Yoon

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:26:15.229149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.411212Z digest=sha256:8acf53ba5abc7d1a38f6d3c01015a4c57296cc6632e752aa84e69bf6becac93e

Observation e46a1e77-e2d3-4044-9fab-1a7c080980b6 · outbound

This paper cites iSTFTNet: Fast and lightweight mel-spectrogram vocoder incorporating in- verse short-time fourier transform.

Learning Neural Vocoder from Range-Null Space Decomposition iSTFTNet: Fast and lightweight mel-spectrogram vocoder incorporating in- verse short-time fourier transform

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:26:15.275618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.397402Z digest=sha256:3d27dc51ad42aa3d1e593dd027227ae8d8423dd95511efd19e5d8f75f9b9d8a7

Observation 4b5890aa-399b-4dc1-832d-1089682cc077 · outbound

This paper cites Efficient neural au- dio synthesis.

Learning Neural Vocoder from Range-Null Space Decomposition Efficient neural au- dio synthesis

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:26:15.289560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.392917Z digest=sha256:59cdb0d2722f2c7a2505f55c5e912063ad028cdceb69a65fbdde9d40b944401f

Observation 615ade7c-885c-41ec-8754-fc34943567d3 · outbound

This paper cites DiffWave: A Versa- tile Diffusion Model for Audio Synthesis.

Learning Neural Vocoder from Range-Null Space Decomposition DiffWave: A Versa- tile Diffusion Model for Audio Synthesis

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:26:15.196070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.419670Z digest=sha256:e947eafc2ab62c376b3f54d40a5690a947d53a688cd50b3154678e53c0a9153f

Observation 23e2622d-a707-42fe-96ad-ba08d18a3ca0 · outbound

This paper cites Density estimation using Real NVP.

Learning Neural Vocoder from Range-Null Space Decomposition Density estimation using Real NVP

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T13:26:14.363676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:26:14.363676Z digest=sha256:524c7e5973da798f79ebc0af6bdda6108e64ceac7082baba45eac59e8ee5a79a

Observation 1808a940-63fa-4bd0-9792-be2a381898b8 · outbound

This paper cites UnivNet: A neural Vocoder with Multi-resolution Spectrogram Discriminators for High-Fidelity Waveform Generation.

Learning Neural Vocoder from Range-Null Space Decomposition UnivNet: A neural Vocoder with Multi-resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:26:15.317886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.382075Z digest=sha256:063abc1b3312946a3d74758d18d34741c604d926f43c2a57c016601a4ee96526

Observation 690da11f-1571-4d93-bb17-0950ca3dbbed · outbound

This paper cites Avocodo: Generative adversarial network for artifact-free vocoder.

Learning Neural Vocoder from Range-Null Space Decomposition Avocodo: Generative adversarial network for artifact-free vocoder

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:26:15.407539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.349692Z digest=sha256:71db95798ef6b5a2f5ebb6f68cf39911b3534bc338e418713c18b569f70a408b

Observation 0da049be-952e-4f80-9531-ffaa0ef2afad · outbound

This paper cites World: a vocoder-based high-quality speech synthesis system for real-time applications.IEICE Trans Inf Syst, 99(7):1877–1884,.

Learning Neural Vocoder from Range-Null Space Decomposition World: a vocoder-based high-quality speech synthesis system for real-time applications.IEICE Trans Inf Syst, 99(7):1877–1884,

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:26:14.916501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.477330Z digest=sha256:c4a317cf4d35417b6a106e7d40d72442309ec70f73081cb09846bfdb4bf9f777

Observation 6c414623-3bbb-4f55-9e3c-df4816ee1a94 · outbound

This paper cites AudioLDM: Text-to-Audio Genera- tion with Latent Diffusion Models.

Learning Neural Vocoder from Range-Null Space Decomposition AudioLDM: Text-to-Audio Genera- tion with Latent Diffusion Models

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:26:15.073733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T13:26:14.460192Z digest=sha256:259cb3d9dbb13008edaa93e03a07cb293857020c11cc32ec2bc075ac6768bdca

Pith citing papers

No inbound Pith citation observations are available.