Pith. sign in

Paper Citation Record · LEDGER

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features

As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2502.04722.

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

pith.paper-citation-record.v1
2502.04722 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:47:38.884362Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

36 of 36 outbound references displayed

  • verified exact4
  • verified fuzzy25
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a876234-d382-4d78-9eb0-bae2b43cd25d · outbound

This paper cites Statis- tical singing voice conversion with direct waveform modification based on the spectrum differential,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Statis- tical singing voice conversion with direct waveform modification based on the spectrum differential,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.549002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.767039Z digest=sha256:4abe5954f621e334d5a2aef7fd87f6ec9aa4a5885fcbbfe8c5411bfd91cf25b6

Observation 1f2c4eee-d9b0-4903-b57d-60226089b912 · outbound

This paper cites Applying voice conversion to concate- native singing-voice synthesis,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Applying voice conversion to concate- native singing-voice synthesis,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.538996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.771066Z digest=sha256:ac21a61c691d1ab2bfda7f5b75a1be0b086fb7338721f9d68f0f36b6ff17a9df

Observation 3bff0cd5-97cc-4b7e-864a-8e77c8abfabd · outbound

This paper cites Statisti- cal singing voice conversion based on direct waveform modification with global variance,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Statisti- cal singing voice conversion based on direct waveform modification with global variance,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.529931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.776699Z digest=sha256:4cdf45d34ac9627f39f28102f7aea4fbe7881e1fc3d9e5f10f503b6b6de27ebc

Observation 96236bf1-79f5-4534-9e39-b8bff5455fc8 · outbound

This paper cites One-to-many and many-to-one voice conversion based on eigenvoices,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features One-to-many and many-to-one voice conversion based on eigenvoices,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.520597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.780401Z digest=sha256:bee9f35ee0527341afcf59f5a24906937ddff86edd58293ad53650381b68b042

Observation 2eb97cf9-4821-4d7a-9280-f6b6136afc39 · outbound

This paper cites Ppg-based singing voice conversion with adversarial representation learning,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Ppg-based singing voice conversion with adversarial representation learning,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.511418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.784278Z digest=sha256:c009f9bac344ef8a4a72141dbe2d00185e08e77e526d6262039d804c0a1769a3

Observation e8a91161-e1a9-48d1-8b0a-b1e46d96a370 · outbound

This paper cites Phonetic pos- teriorgrams for many-to-one voice conversion without parallel data training,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Phonetic pos- teriorgrams for many-to-one voice conversion without parallel data training,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.501697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.787843Z digest=sha256:ba943ed568e6c4bb53d3a378b813e3a9975dee736664480e113e4a56ad1c5ca4

Observation 8266b5f5-65c4-4d57-90f2-2dad5d9b5db4 · outbound

This paper cites Vits-based singing voice conversion leveraging whisper and multi-scale f0 modeling,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Vits-based singing voice conversion leveraging whisper and multi-scale f0 modeling,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.491859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.791434Z digest=sha256:c075dcd8b4c7d1807bdcafa1eecf9287540c91e881b588ec348de8d4e7c919a8

Observation 17dcc011-4a08-4216-973e-1dbba57cbb7e · outbound

This paper cites Self- supervised representations for singing voice conversion,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Self- supervised representations for singing voice conversion,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.481796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.794482Z digest=sha256:f200861a9c7cd26ea3079d611dc57075f8a47bd68062c28226a49233f8ac41fa

Observation c99e0cc2-c77c-4a43-9a0a-09f7b3629de4 · outbound

This paper cites DurIAN-SC: Duration Informed Attention Network based Singing Voice Conversion System.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features DurIAN-SC: Duration Informed Attention Network based Singing Voice Conversion System

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-08T21:47:39.273555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.797674Z digest=sha256:803cbb517bcba9b8e0297cb6a238fbcba2caf7ed860bfd050ea3a8d819f00ea6

Observation b06c27aa-b0fc-4604-baec-78435a381f87 · outbound

This paper cites Hierarchical disentangled representation learning for singing voice conversion,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Hierarchical disentangled representation learning for singing voice conversion,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.472219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.801177Z digest=sha256:1512d39791603b1a90c706e6754c8356b01236e48b2f0fda8d47ede0e941b2d0

Observation 23b4fdbe-0a70-46a8-8ccc-d596fb3ef7e1 · outbound

This paper cites Fastsvc: Fast cross-domain singing voice conversion with feature-wise linear modulation,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Fastsvc: Fast cross-domain singing voice conversion with feature-wise linear modulation,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.462269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.804258Z digest=sha256:da1ebfb26325d35981c19eaed548d1a05620b6b9bfa76151140466396bfd5f5c

Observation 0ff21ca2-239f-43fd-9356-a40025cc6f00 · outbound

This paper cites Singing voice conversion with disentangled representations of singer and vocal tech- nique using variational autoencoders,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Singing voice conversion with disentangled representations of singer and vocal tech- nique using variational autoencoders,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.452345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.807441Z digest=sha256:7cbb805f8cecfbaa5874ea2c4b48b53a519a21fa9f5df256cd5dc378a04eedad

Observation c7a6758b-2901-4b5a-9d90-19835695463e · outbound

This paper cites Diffsvc: A diffusion probabilistic model for singing voice conversion,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Diffsvc: A diffusion probabilistic model for singing voice conversion,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.441474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.810668Z digest=sha256:50aca0d27e3c27a6e17bad131aead3222b4968b525dffd400a59b1667f487adc

Observation ec8a8477-2d1f-4a5d-87a7-6795378de9c8 · outbound

This paper cites pyin: A fundamental frequency estimator using probabilistic threshold distributions,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features pyin: A fundamental frequency estimator using probabilistic threshold distributions,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.431309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.813705Z digest=sha256:1e41c0799a386f5ccee95b58dc2a402bd218d51ca010b534f6afe35e885e1a64

Observation 3b7e9c03-babd-43e7-aa46-87b817a64725 · outbound

This paper cites Hifi-svc: Fast high fidelity cross-domain singing voice conversion,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Hifi-svc: Fast high fidelity cross-domain singing voice conversion,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.421385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.816655Z digest=sha256:ace9fb350bd6a2af32992d327f7b22e56e38cf4e90115df529b51e5d8c938d70

Observation 40dc0a55-662d-44d5-8275-6594a328e181 · outbound

This paper cites Crepe: A convolutional representation for pitch estimation,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Crepe: A convolutional representation for pitch estimation,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.411272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.819918Z digest=sha256:da24eb8cd53ec1846fa6d2db179764643f932b37cd4ddd8bb19957b06d900d9e

Observation 011c6730-1c71-4c52-8590-efd29cc71a2a · outbound

This paper cites Towards High-fidelity Singing Voice Conversion with Acoustic Reference and Contrastive Predictive Coding.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Towards High-fidelity Singing Voice Conversion with Acoustic Reference and Contrastive Predictive Coding

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-08T21:47:39.260629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.822990Z digest=sha256:38c1bdfc48a04301603db50b81bc0694ed20429066cbb719e6f7d9b217f611f2

Observation 4eadc8fc-4dec-4b93-8788-f0613961a8e7 · outbound

This paper cites Adversarial speaker disentanglement using unannotated external data for self-supervised representation-based voice conversion,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Adversarial speaker disentanglement using unannotated external data for self-supervised representation-based voice conversion,

Reference 18

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-08T21:47:39.245662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.826602Z digest=sha256:930178102129266efafb52c36079064548cccf7f53a53d00c58487a00e99b562

Observation b20bd879-dd47-4865-8602-ede7a879fbb4 · outbound

This paper cites Boosting self-supervised embeddings for speech enhancement,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Boosting self-supervised embeddings for speech enhancement,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.401611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.829587Z digest=sha256:ba403759749e99133875a7def6ec244e454de2fce6f89ad1b726d25cd7bf992e

Observation fa17d025-227b-4a9f-8e99-f35feb0da5a9 · outbound

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

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-08T21:47:38.832614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:47:38.832614Z digest=sha256:16a8ac58364589bf104fe7ba69947b90bb9c5fd3c3af9f7b0d79aa2629ae5a6e

Observation 8ca6fc15-2ffc-46e4-b7b8-1f606966012d · outbound

This paper cites Wavlm: Large-scale self-supervised pre- training for full stack speech processing,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Wavlm: Large-scale self-supervised pre- training for full stack speech processing,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T21:47:38.835945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:47:38.835945Z digest=sha256:ac7144162e12058a942d56b4d668c8adb584dbdb61d9e97cb48ee8fecbcd43c1

Observation ae130da9-38a3-478e-82d4-780634b65ef8 · outbound

This paper cites RobustSVC: HuBERT-based Melody Extractor and Adversarial Learning for Robust Singing Voice Conversion.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features RobustSVC: HuBERT-based Melody Extractor and Adversarial Learning for Robust Singing Voice Conversion

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-08T21:47:38.937367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.839294Z digest=sha256:2bedbacbcc44c39ff3e210a2adb16740337189d4b65d6d8eadc90ae04c3a6f6d

Observation 713caa43-3cf7-4c0e-998c-3493f2303a6e · outbound

This paper cites Fastspeech 2: Fast and high-quality end-to-end text to speech,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Fastspeech 2: Fast and high-quality end-to-end text to speech,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.380391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.842732Z digest=sha256:631817b9b1aa82e884400c32085096fe8d636a7ecc8562c6e78b16a3f875ad24

Observation 6fd45806-6b9d-4320-b890-c1a47f7a6987 · outbound

This paper cites A Learned Representation For Artistic Style.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features A Learned Representation For Artistic Style

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T21:47:38.846103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:47:38.846103Z digest=sha256:df182ebd62ab430fb65f800db092288e3781ff06127016272ed7308e56ab34a2

Observation cdede67d-1f6e-4a79-b58c-fd4c856e3e16 · outbound

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

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T21:47:38.849521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:47:38.849521Z digest=sha256:2370b23df8f60eb083a375f09dd9cdac7a6260b05e6be2c08a3447c8266f826b

Observation 9aa00d24-5b4e-4168-8354-02763d81c1a1 · outbound

This paper cites Natural tts synthesis by conditioning wavenet on mel spectrogram predictions,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Natural tts synthesis by conditioning wavenet on mel spectrogram predictions,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-08T21:47:38.852721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:47:38.852721Z digest=sha256:59142765f626e0c397e0201352d68aa2d74eaad64b3f45e19d40af9b856aab00

Observation d7f5b3ef-0e5b-4df4-894f-c6b7a9723c01 · outbound

This paper cites Why does self-supervised learning for speech recognition benefit speaker recognition?.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Why does self-supervised learning for speech recognition benefit speaker recognition?

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.358882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.856291Z digest=sha256:22fe0553cd6f23a5fa0bb72c71ae340f8eb5b3620737b9f9cd747b3d7fbb0969

Observation 2ff78628-994c-43da-b15e-4db686c8b9af · outbound

This paper cites Musdb18-a corpus for music separation,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Musdb18-a corpus for music separation,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.349262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.859364Z digest=sha256:b00bc8bad3dfc759bf11cb66ecd2e227229823bf2f757bef49cbafd8123b478e

Observation c09b179d-4888-46a2-9196-aaae99f607f4 · outbound

This paper cites Multi-singer: Fast multi-singer singing voice vocoder with a large-scale corpus,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Multi-singer: Fast multi-singer singing voice vocoder with a large-scale corpus,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.339535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.862680Z digest=sha256:16516d4d9dd66d5ba300e6d172dfce6e83e2e38fb7045770e4c7b8c1f5f48f43

Observation 0e916536-0397-4ef7-a521-228a36f18b7a · outbound

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

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Opencpop: A High-Quality Open Source Chinese Popular Song Corpus for Singing Voice Synthesis

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T21:47:38.865624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:47:38.865624Z digest=sha256:36613798a647d20ec2bb4d3832077b137fec6c8949075abf73db86382062346f

Observation 6322b6d6-2b82-49ef-b2e1-c0bc6005c79e · outbound

This paper cites Librispeech: an asr corpus based on public domain audio books,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Librispeech: an asr corpus based on public domain audio books,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.329505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.869143Z digest=sha256:af6682d679e0e3df88eae2e99a3fbd52debc35ed03086d0b6c082630aa4c596e

Observation f4a6433f-bd64-4e4f-a9ad-949cf02b678c · outbound

This paper cites Catastrophic forgetting in connectionist networks,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Catastrophic forgetting in connectionist networks,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-08T21:47:38.872142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:47:38.872142Z digest=sha256:201b64d6f0aab369f4ec22e91857188c9513ff0d3abd93a926d27cdba3176bad

Observation 3f75cc1f-1443-45cc-b169-d12544b9d99c · outbound

This paper cites Dis- entangling content and fine-grained prosody information via hybrid asr bottleneck features for voice conversion,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Dis- entangling content and fine-grained prosody information via hybrid asr bottleneck features for voice conversion,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.314290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.875294Z digest=sha256:91ac2db455df68578df1e2ea07fdb262ccf25c5663791902af37a25f606fdd92

Observation 8fa7d95d-7263-4bdb-8dbc-99a38dfa8dd0 · outbound

This paper cites Wenet: Production oriented streaming and non- streaming end-to-end speech recognition toolkit,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Wenet: Production oriented streaming and non- streaming end-to-end speech recognition toolkit,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.304643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.878240Z digest=sha256:50100634585907f9149b73451eee9cffd9ec85ca373e800a1c90ef0f3d40d9b1

Observation 5456210c-a3be-4830-a7f1-a96f21744d59 · outbound

This paper cites Hybrid transformers for music source separation,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features Hybrid transformers for music source separation,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.294837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.881361Z digest=sha256:37c6c1f605d00c6e370c7b003203c3190b6f2f250e26b446972f206589f53432

Observation 2c424ff9-356c-42f6-91a2-d3b67a1209e5 · outbound

This paper cites The singing voice conversion challenge 2023,.

Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features The singing voice conversion challenge 2023,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:47:39.283324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T21:47:38.884362Z digest=sha256:fd430d257b46bc6e89ab303278e5d494b1f963ae74dd220f5a9dd188077671ff

Pith citing papers

No inbound Pith citation observations are available.