Pith. sign in

Paper Citation Record · LEDGER

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset

As of 17 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 2 inbound Pith citation observations for arXiv:2505.09325.

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

pith.paper-citation-record.v1
2505.09325 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:37:53.355467Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:33:15.000548Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T20:38:24.803202Z

Reference resolution

69 of 69 outbound references displayed

  • verified exact2
  • verified fuzzy55
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 147436ae-b14f-4f11-84b9-5a50170741c0 · outbound

This paper cites GPT-4 Technical Report.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T21:37:53.135212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:37:53.135212Z digest=sha256:959eab6c5064e72cf14b3f832aa0c78f6cbc6fa09671ade9c4931d3aa4dcc626

Observation a256d01e-5ab1-4897-aa7b-7cc3c02716c0 · outbound

This paper cites wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:54.005682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.138967Z digest=sha256:070bfc8065a04190b8926befb2ebdd0cdd85b3e52846ee10408acae70e0e83e6

Observation f19e5a2a-3d18-49d2-80dc-7e2473946053 · outbound

This paper cites Automatic identification of emotional cues in Chinese opera singing.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Automatic identification of emotional cues in Chinese opera singing

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.996091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.142283Z digest=sha256:74f40f4aaee396342108c34f0db3b86e5b1e51c90be02452b0e6233d08a59ac3

Observation 02a3d9cc-fb99-4b33-9ac5-1b02749d40b9 · outbound

This paper cites WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.986816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.145694Z digest=sha256:ffc522ccc7fa1e667b17d3678a7330233ffc33a24ed560e1d97f904162707062

Observation 8516c171-31ed-45da-bf7a-b2bf29967c36 · outbound

This paper cites LDM-SVC: Latent Diffusion Model Based Zero-Shot Any-to-Any Singing Voice Conversion with Singer Guidance.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset LDM-SVC: Latent Diffusion Model Based Zero-Shot Any-to-Any Singing Voice Conversion with Singer Guidance

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T21:37:53.149056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:37:53.149056Z digest=sha256:b98b8e390d64f4642860f6b275343169c3625cdb69b521615dae3b0a85720867

Observation 0afacdf0-de0f-48c5-a2e8-8a14ce1c0f2f · outbound

This paper cites Children’s song dataset for singing voice research.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Children’s song dataset for singing voice research

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.977775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.152357Z digest=sha256:ce6b2ee0aae4238c33f7c4c07826d1fbf0d104e57ea0099138da7177ee462915

Observation 130ed8ef-aecd-4580-800a-bcdda3047aeb · outbound

This paper cites w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.968575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.155675Z digest=sha256:fac1cb23d793f99283af33f75d15e62fbbfda0a8393b51ce4f5a9372c59679bb

Observation 4bf766b0-664b-422a-839c-eef7f712d2d8 · outbound

This paper cites Generalization Ability of MOS Prediction Networks.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Generalization Ability of MOS Prediction Networks

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.958896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.158646Z digest=sha256:5c080ca1bc5eaaeea45915715c134db95974de4983466edd70fe361d4ef881e3

Observation b4e9e751-862c-4143-9ae8-bedd33567f2c · outbound

This paper cites Multiple F0 Estimation in Vocal Ensembles using Convolutional Neura l networks.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Multiple F0 Estimation in Vocal Ensembles using Convolutional Neura l networks

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.949613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.161668Z digest=sha256:ee2ca27e873d978cf426e98be942227ed4a0bd582c8f140a975da5bd5ab713b3

Observation ca0f3162-212b-45c9-8f89-802a9c80efc7 · outbound

This paper cites Dannenberg.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Dannenberg

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.940314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.164739Z digest=sha256:b956a5cf21b6fe1fabed68480be0fd293bae8729659d439e6db452234a2378fa

Observation d6e6a6b5-ed75-4d82-8564-3ce295a02fa7 · outbound

This paper cites The NUS sung and spoken lyrics corpus: A quantitative comparison of singing and speech.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset The NUS sung and spoken lyrics corpus: A quantitative comparison of singing and speech

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.931111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.167602Z digest=sha256:f97d5f12ad1d546b9a543a8e1ce9ce4f687f63caccce626232be880b56145576

Observation 4030c130-eed3-4c10-8529-993256db753a · outbound

This paper cites Fabbro, S.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Fabbro, S

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.921948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.170720Z digest=sha256:f6fbec10f19a4a80d924681e8457332abfcee863fe9a830312a94d649f3b0ec2

Observation 470c47f2-32a6-425a-8bee-f31a893a0c5f · outbound

This paper cites An Investigation of Time-Frequency Representation Discriminators for High-Fidelity Vocoder.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset An Investigation of Time-Frequency Representation Discriminators for High-Fidelity Vocoder

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:37:53.445899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.173595Z digest=sha256:d7888fc1db22c19c22d7bf0fb2ebffee78aa54a5bb55e92a091ec1d80929e994

Observation 3d0c3df2-c49e-4aaa-b3f9-6840ff0123ec · outbound

This paper cites Multi-scale sub-band constant-q transform discriminator for high-fidelity vocoder.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Multi-scale sub-band constant-q transform discriminator for high-fidelity vocoder

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.912708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.176610Z digest=sha256:ff1e4c359f5f442947cc04023e942d7e90f1e156435be7590941a184302ccbb6

Observation f3d99cad-51cd-4346-a33c-c3540be7890d · outbound

This paper cites SingAug: Data Augmentation for Singing Voice Synthesis with Cycle-consistent Training Strategy.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset SingAug: Data Augmentation for Singing Voice Synthesis with Cycle-consistent Training Strategy

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.903385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.179573Z digest=sha256:55ea3023293095deca70635daa7d8f39f16d040525c25c07aec7adcade22b738

Observation 95f77202-efab-4545-b57f-1230fbc9fe7e · outbound

This paper cites Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.894335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.182546Z digest=sha256:5b45c955fd8c22742747ddef764a64a4a4687824724f46f9bd9b7028a2324016

Observation b4c0058c-7c2c-4c1b-bd69-e6f2bb48ca2c · outbound

This paper cites On the Improvement of Singing Voice Separation for Monaural Recordings Using the MIR-1K Dataset.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset On the Improvement of Singing Voice Separation for Monaural Recordings Using the MIR-1K Dataset

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.884313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.185605Z digest=sha256:343f2850bce3ec7742a7fa08a342a9247c5e0daa4f7f0b012cbff66d775d68c8

Observation 3e48a5bf-71b2-4aef-94e4-05d2ea382e75 · outbound

This paper cites HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.874840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.188785Z digest=sha256:969787ccf447f063744dd7f49611e1640a38ee58738d2f6457f94e902f0c1ae3

Observation c90ea4e0-b970-4136-9438-511e6890ad7e · outbound

This paper cites Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.865949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.191757Z digest=sha256:dbd6cca6ae15ecd0c4601dd41de444d3017727e53bb6c2af0069e8d87d76d6ff

Observation 56bde2dc-31e2-4fa5-ad7a-209b316d652a · outbound

This paper cites The Singing Voice Conversion Challenge 2023.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset The Singing Voice Conversion Challenge 2023

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T21:37:53.194822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:37:53.194822Z digest=sha256:900fa1ff388548dd4bdecbe9187729f16407eb65e68c686fc2ab4b12bb9bbf22

Observation 5e17b61b-6a84-489c-88c7-0bed132c6d32 · outbound

This paper cites Jadoul, Bill Thompson, and Bart de Boer.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Jadoul, Bill Thompson, and Bart de Boer

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.856744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.197905Z digest=sha256:528f9625095b2bb009cbeed39c04696767735e6b4bb5713ba0f6a17759042215

Observation 56c0661c-62ae-4c33-9891-fed0629c3fd6 · outbound

This paper cites Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.847672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.200877Z digest=sha256:a64d9141f1ebf75e9a37822b933bb8813b36126e839b78bfe2eaac6fe5087687

Observation 7cec4dac-8866-4541-9e2c-e98ab31581e3 · outbound

This paper cites NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.838507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.204092Z digest=sha256:29074a832467d9ff0d01c282dcd6ce89e293645033e4a4f557bdd59111d4a3ea

Observation 0309f106-6b32-46bb-8fbc-76757c432ee5 · outbound

This paper cites Efficient Neural Audio Synthesis.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Efficient Neural Audio Synthesis

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.829088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.206990Z digest=sha256:4818a990d2a7f79584fcaab91e1057ca63306190b07f7064690fa5e038620574

Observation 640f81ad-6c5c-4526-ae32-7c87571110b3 · outbound

This paper cites STRAIGHT, exploitation of the other aspect of VOCODER: Perceptually isomorphic decomposition of speech sounds.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset STRAIGHT, exploitation of the other aspect of VOCODER: Perceptually isomorphic decomposition of speech sounds

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.819950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.209923Z digest=sha256:8b213b3b82952efaae579bed6e39c021f5db10e12fe299ada306a1f3bddde637

Observation 4f559d15-69ea-4237-9d6e-64e97e3db499 · outbound

This paper cites Librivox: Free public domain audiobooks.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Librivox: Free public domain audiobooks

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.810738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.212883Z digest=sha256:795f9638bb0b8936098474e3a19f58500f68e648b41418cb2c285a43fc964e93

Observation 41d9609d-e1c6-437a-a187-15e9ed0b25aa · outbound

This paper cites PJS: phoneme-balanced Japanese singing-voice corpus.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset PJS: phoneme-balanced Japanese singing-voice corpus

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.801378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.215959Z digest=sha256:05167da8156a17cb483c12cd8a0385c5e33d28d2c1472ea867964ba448a3fe74

Observation 315df28f-07fc-4327-b953-dde2fe045d66 · outbound

This paper cites DiffWave: A Versatile Diffusion Model for Audio Synthesis.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.792398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.221682Z digest=sha256:afd4d0dcc5ebfe1f614b1d0ddbeacfd2a3375e04bf290b515cc755e54f5fc92e

Observation ccdb52b1-bdd8-44ef-a774-88a5c8d962c4 · outbound

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

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Mel-cepstral distance measure for objective speech quality assessment

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.782960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.225511Z digest=sha256:161c98d8db8913f5bb4fa2832f89abe849fc4607a12c03a2a7b86b4e98f2cef7

Observation 21548722-7b93-4ce3-95d1-77c22d78eaec · outbound

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

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset BigVGAN: A Universal Neural Vocoder with Large-Scale Training

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.773871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.228503Z digest=sha256:44c1c038dfca4f4a2f9cbce483b2e6ffa94c51db44b5f0a4479930dc284103e9

Observation dfc3bb70-0f1d-43ed-90a8-83ba77740ac1 · outbound

This paper cites Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Zili Wang, Yike Guo, and Jie Fu.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Zili Wang, Yike Guo, and Jie Fu

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.764306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.231520Z digest=sha256:ffbee0d1510ab91c2714c6efe83b19c7e1254b15f2acfa42c3900aa009ded9ef

Observation 48aa5239-2529-4c54-8053-d3031d166439 · outbound

This paper cites DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.755003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.234656Z digest=sha256:666f2d12df8e31cc51a019f4c0dc91c3599c6a37200d171e7d70c2d2235c5ee4

Observation 2eebc7b3-8894-47f7-a438-660a0935778a · outbound

This paper cites Learning the Beauty in Songs: Neural Singing Voice Beautifier.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Learning the Beauty in Songs: Neural Singing Voice Beautifier

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.745460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.237768Z digest=sha256:3cd9e7b7e05a13b1e1a5b584148c825431baad8d35dd255c9a2b31959ff7f07c

Observation afd78071-35e6-4656-a4fc-db75c1a3bbfa · outbound

This paper cites DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.736527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.240777Z digest=sha256:5f0cd1804cdb2daba1b2584244c9f4ffa52ce36fc7674fb51e61c48c15a452dc

Observation 6ad2df6b-43da-463a-9ab2-07bb300fdd9e · outbound

This paper cites Decoupled Weight Decay Regularization.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Decoupled Weight Decay Regularization

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.727430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.243890Z digest=sha256:de4b3465abfa4406c4f2b979ec16afa0b97e66c169ee7ece421b9b5c924606b9

Observation cc4e3cd4-128c-4b0a-8913-5c7d9942d25a · outbound

This paper cites an unresolved cited work.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:37:53.718160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.247159Z digest=sha256:ba797945551e0ac8909bddd4c8a7b58c4ef36c12e027f88f4edffbc666c7f070

Observation aa5f1653-9c2a-4871-bcf0-fb0dcfd1761e · outbound

This paper cites WORLD: a vocoder-based high-quality speech synthesis system for real-time applications.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset WORLD: a vocoder-based high-quality speech synthesis system for real-time applications

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.709271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.250371Z digest=sha256:495ddae84a6bfeb22ef4a7ce62e9eec97d9645b6fa41927e230739866151dcc8

Observation 5ee2eb35-b99f-4109-acef-c90f254851b6 · outbound

This paper cites Tohoku kiritan singing database: A singing database for statistical parametric singing synthesis using japanese pop songs.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Tohoku kiritan singing database: A singing database for statistical parametric singing synthesis using japanese pop songs

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.700187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.253093Z digest=sha256:9db6c94ac6c84ba2536ab4fb8b80be193c821a6edccca73ad1a9d0b81b03928b

Observation 2bdf3267-abb7-49bd-afb4-0e1159dc8add · outbound

This paper cites Audio Slicer , 2022.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Audio Slicer , 2022

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.691344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.255966Z digest=sha256:93033980c05cc2a1ed23d27efd5e122af1dad09fbdd2715b7b0cbc1898e93a03

Observation 5a475500-4d08-49f2-b704-74198ee6d5d0 · outbound

This paper cites DiffSinger Community Vocoders , 2024.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset DiffSinger Community Vocoders , 2024

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.682163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.258814Z digest=sha256:b802c61d33e47939d1252253bd8f4828d40578652e80455a42014b061373564d

Observation 00992a65-986e-4391-9a24-2479fe67c0f0 · outbound

This paper cites Transfer Learning of wav2vec 2.0 for Automatic Lyric Transcription.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Transfer Learning of wav2vec 2.0 for Automatic Lyric Transcription

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.673602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.262943Z digest=sha256:4bda314643c2eb16219977f16459726e310b00b388669aaa89ce8b4fc57caee0

Observation 335f8152-2943-4b25-82c6-f668bd2a131e · outbound

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

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Librispeech: An ASR corpus based on public domain audio books

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.664572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.265854Z digest=sha256:9e684ed3449c26f7976bd4422687a0fb5c094b8d35d15b1bc155d0b67b70cfad

Observation 3e8d450f-1133-4495-bad8-f1d669cfac5b · outbound

This paper cites Waveglow: A Flow-based Generative Network for Speech Synthesis.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Waveglow: A Flow-based Generative Network for Speech Synthesis

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.655143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.268681Z digest=sha256:15b9d57f737d2fa399e976c11c413455aafb9881921dd5a411f4af9dde82c0b0

Observation 939277fb-60ea-4c6b-b44b-c1b0669e24a4 · outbound

This paper cites Cox, Mark Hasegawa - Johnson, and Shiyu Chang.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Cox, Mark Hasegawa - Johnson, and Shiyu Chang

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.646167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.272199Z digest=sha256:8e4660ed6777a0e50a951a77afac42507476c57d631cc9bc074ee55e00044ea9

Observation 8fae14b8-fc14-41d3-b0bd-63213353a40c · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Robust Speech Recognition via Large-Scale Weak Supervision

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.636960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.275526Z digest=sha256:5517356bb5f0b4280e28aae2fba98a856158648d58531058394abb959a35e1a3

Observation f646381e-e49a-4901-8f51-ca2e8f96740c · outbound

This paper cites Deepsinger: Singing voice synthesis with data mined from the web.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Deepsinger: Singing voice synthesis with data mined from the web

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.627714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.278268Z digest=sha256:24d443416056a8cda5ef69f7ec42ae795a5d7ca859a9585e1b9ed82a584eb742

Observation cf8b444d-d59a-42d9-bf1f-40cff4956adb · outbound

This paper cites NHSS: A speech and singing parallel database.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset NHSS: A speech and singing parallel database

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.618584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.281553Z digest=sha256:c8220e7b593cf846b15d5c8eff4e7b128d5f74ab9e5daaab6dd61bcabb9ebafa

Observation 9177fbc1-c636-4e4f-8f9c-351da7ef7ae0 · outbound

This paper cites NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.609515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.284738Z digest=sha256:5a56ae3faff7d801c2519cce70c8957f451422127fdcc5307c75a618b6232135

Observation aa9e02fd-5d53-4180-8483-ec593714aec3 · outbound

This paper cites Muskits: an End-to-end Music Processing Toolkit for Singing Voice Synthesis.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Muskits: an End-to-end Music Processing Toolkit for Singing Voice Synthesis

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.600377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.287963Z digest=sha256:f24cfdc6977f273ad907ab891fcd05993055f84d14490d1f588e858bd0f78102

Observation c687e2dd-ed10-4f54-aae7-2b7625c9b2af · outbound

This paper cites Singing Voice Data Scaling-up: An Introduction to ACE-Opencpop and ACE-KiSing.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Singing Voice Data Scaling-up: An Introduction to ACE-Opencpop and ACE-KiSing

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T21:37:53.291050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:37:53.291050Z digest=sha256:8967420a1c20ad0b6bb19734dae007c9ca80598c7f8cbcf1e8fee45eff939a53

Observation a1175bad-da79-46df-aa50-e92603bb7cde · outbound

This paper cites Benchmarks and leaderboards for sound demixing tasks, 2023.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Benchmarks and leaderboards for sound demixing tasks, 2023

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.591560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.294764Z digest=sha256:da12ef7eb91c09427a5016d7b5ab93b624c1ae06d9e0043ba36c97b7304dafc4

Observation 55b8dda5-32a9-41a5-8157-4e317eea7112 · outbound

This paper cites HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.582202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.298059Z digest=sha256:8ab3141a96674c1811116a7e7bfe54c1d5c17847816961fa39771b094ce64ea5

Observation 368bb720-eac5-43a0-a194-f743c4da8df4 · outbound

This paper cites SingMOS: An extensive Open-Source Singing Voice Dataset for MOS Prediction.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset SingMOS: An extensive Open-Source Singing Voice Dataset for MOS Prediction

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T21:37:53.301162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:37:53.301162Z digest=sha256:8c2dbef43d04c65c0b7081f3448dbe3f916f6db02855d55c4ffe821cdff9a345

Observation 28674728-aa3f-497d-ba7a-ca324881928b · outbound

This paper cites Senior, and Koray Kavukcuoglu.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Senior, and Koray Kavukcuoglu

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.573096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.304657Z digest=sha256:52704a9d048db0a60ade41ae1f59a10e5274a48ae0e3cccb48cb001313399123

Observation 9997a78f-77b3-4494-a05a-230f7f0ff10b · outbound

This paper cites Opencpop: A High-Quality Open Source Chinese Popular Song Corpus for Singing Voice Synthesis.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Opencpop: A High-Quality Open Source Chinese Popular Song Corpus for Singing Voice Synthesis

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.563753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.307977Z digest=sha256:2828b6c6c423e49ec982f2567f46898d766b22c175f9f4f9817daeac4bb535c3

Observation 307ab26f-daf8-4230-8274-df39a1c4f7f0 · outbound

This paper cites SaMoye: Zero-shot Singing Voice Conversion Model Based on Feature Disentanglement and Enhancement.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset SaMoye: Zero-shot Singing Voice Conversion Model Based on Feature Disentanglement and Enhancement

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:37:53.406323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.311066Z digest=sha256:dbcbfb57c34e8e03639f2b4ffdbe1dd5091da4dee3d4e13db994fbb1707b459d

Observation d9cda270-d000-4b86-ae6e-ec17757ec968 · outbound

This paper cites VocalSet: A Singing Voice Dataset.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset VocalSet: A Singing Voice Dataset

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.554288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.314660Z digest=sha256:2fa534756a8696d1ddadc9f8dc8a934a0fd2376ad5e39136e87bf155c89fb119

Observation 6d71c7d6-b4ae-4939-864b-541dfa798097 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T21:37:53.317811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:37:53.317811Z digest=sha256:b865e361cbc18e91922689c505bfb8e3f04d2d8d5af8728a86379d20232ee336

Observation 1c431b5d-aea4-4fa0-b79f-0dcf44722e6b · outbound

This paper cites DDSP-based Singing Vocoders: A New Subtractive-based Synthesizer and A Comprehensive Evaluation.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset DDSP-based Singing Vocoders: A New Subtractive-based Synthesizer and A Comprehensive Evaluation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.544589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.321458Z digest=sha256:aeda091cd647ec9e13a30c7dd731d18eee32d044cce6ed1db9a64778736f4b33

Observation bf4c2f2d-99e7-41fa-bc9b-777278648203 · outbound

This paper cites M4Singer: A Multi-Style, Multi-Singer and Musical Score Provided Mandarin Singing Corpus.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset M4Singer: A Multi-Style, Multi-Singer and Musical Score Provided Mandarin Singing Corpus

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.534124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.325181Z digest=sha256:ff9fc25f2a372e9d8f11514b2d51f8eff4d0fa2dabf77cee47eb786ab0ad6441

Observation c7722ef2-217b-4872-b484-8c0a6fac21e5 · outbound

This paper cites Leveraging Diverse Semantic-based Audio Pretrained Models for Singing Voice Conversion.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Leveraging Diverse Semantic-based Audio Pretrained Models for Singing Voice Conversion

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-15T21:37:53.328279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:37:53.328279Z digest=sha256:6702261badbaf9c75468829815684b15bcc11a51858634a1999965fce5736ce8

Observation 63854892-6b78-48b9-9da1-3b2072fe2f86 · outbound

This paper cites Amphion: An Open-Source Audio, Music and Speech Generation Toolkit.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Amphion: An Open-Source Audio, Music and Speech Generation Toolkit

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.523992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.331711Z digest=sha256:9f54965706eadecd3de827299692a222d0046992b3340accc5af8b52f6e24a2b

Observation 6cfcd07a-9011-4997-8a9a-5a0303b16291 · outbound

This paper cites SinTechSVS: A Singing Technique Controllable Singing Voice Synthesis System.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset SinTechSVS: A Singing Technique Controllable Singing Voice Synthesis System

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.513913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.334832Z digest=sha256:8f20da48ffa770d8aff71738ea7b3ed5deac4f1bf9cb6f36ebbb345315fe28fd

Observation c8038f2f-76bb-44ec-bd11-ffc4cdd0cf36 · outbound

This paper cites FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.503895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.337830Z digest=sha256:e003fc84df80775dbbea4be76a4cba61ea035824da98009d7b4b0e94b8e41d4e

Observation 7ae7d721-0089-4d58-b726-9726e3f72e49 · outbound

This paper cites Dannenberg, Jie Fu, Chenghua Lin, Emmanouil Benetos, Wenhu Chen, Wei Xue, and Yike Guo.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Dannenberg, Jie Fu, Chenghua Lin, Emmanouil Benetos, Wenhu Chen, Wei Xue, and Yike Guo

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:37:53.494429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:37:53.340963Z digest=sha256:e46ebe16efd171a380d4499329ca055548400a6cd1d41d6981478161ccaf7c9f

Observation 89bd7c00-ed1e-4ce9-8c9f-ab5a3880443e · outbound

This paper cites write newline.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset write newline

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T21:37:53.344084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:37:53.344084Z digest=sha256:50bc6282aab98ae2348ecdc17535b790f6f050a625992363bc536eded998b8f4

Observation 61ffcca6-5a94-4fbf-a598-5518627069fd · outbound

This paper cites @esa (Ref.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset @esa (Ref

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-15T21:37:53.348229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:37:53.348229Z digest=sha256:08bfee1daa09f021e1d18aa21c6872806a7a4f630e597a03e7b1ea88c1ebbaab

Observation 69d951fb-d5eb-4f9b-b115-57d435d7ea84 · outbound

This paper cites an unresolved cited work.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Unresolved cited work

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-15T21:37:53.351795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:37:53.351795Z digest=sha256:d7d622890a82e26883673e65d1f6a6ebe4469b12c96a8bd34e3e3bf4571ae45c

Observation 8e5f34c8-252d-4e70-870d-29ab383bf756 · outbound

This paper cites an unresolved cited work.

SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset Unresolved cited work

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-15T21:37:53.355467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:37:53.355467Z digest=sha256:7f735c6b36ade6687cc7f16a98f2e2ffcea71f670a5083bffa1d369ff864a055

Pith citing papers

Observation 5f4f4543-f945-44f5-b050-0cc2af105bc4 · inbound

Aliasing-Free Neural Audio Synthesis cites this paper.

Aliasing-Free Neural Audio Synthesis SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:38:24.804768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-16T20:34:50.539351Z digest=sha256:38c0ed9e90c98c383979ab8b3164737440fe37c8fc906541c2fab76b6a6e8c74

Observation 68f2c4be-45ea-4fe0-a024-2d89263c7db6 · inbound

Aliasing-Free Neural Audio Synthesis cites this paper.

Aliasing-Free Neural Audio Synthesis SingNet: Towards a Large-Scale, Diverse, and In-the-Wild Singing Voice Dataset

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-03T14:33:15.000548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:33:15.000548Z digest=sha256:ab07034e680746a842124f8234bcf89b219e724f1178f7b1704bfd6b6e81772b