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 2026-08-17T06:30:58.91139+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.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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.

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.

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.

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.

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 2026-08-17T06:30:58.91139+00:00.

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.