Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T18:09:51.065507Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2607.24323.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T18:09:51.065507Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-31T18:09:50.397590Z
A source-named dated measurement, never combined with another source.
Source: cited_works
38 of 38 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation bbabebf4-d898-42b9-9f15-9da5b725c5d8 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding They play a key role in speech synthesis, such as in voice conversion and speaker anonymization systems [1, 2]
Reference 1
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Observation 5209250e-d653-46fc-af09-d8351e72b7f4 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding
Reference 2
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Observation 791c9053-d405-4802-bc8b-82343483a2b2 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding Unresolved cited work
Reference 3
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Observation ce1e616f-4106-4413-9e82-7d366c67e624 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding Datasets For our trainings, we used LibriTTS [27] subsets (train-clean-100, train-clean-360, train-other-500), similar to BigVGAN and V ocos [3, 6]
Reference 4
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Observation 1ee9fef3-de81-488e-938c-df9434ac0d40 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding Unresolved cited work
Reference 5
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Observation c1127f58-7893-4fae-a8a2-a35440b356ea · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding The results, reported in the bot- tom rows of Table 2, highlight that V ocos-Mag outperforms almost any other experiment in this paper, while V ocos-Phase performs the worst
Reference 6
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Observation cecb3492-20c5-4563-bab3-63cc8fc908ea · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding not a bug, but a feature
Reference 7
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Observation 1584c7a9-6c23-419f-9d5d-381ebbd1f827 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding How should we extract discrete audio tokens from self-supervised models?
Reference 8
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Observation b555ceaf-201f-4734-b28b-b27adff4f809 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding Why disentanglement- based speaker anonymization systems fail at preserving emo- tions?
Reference 9
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Observation 9469bfd7-1a98-4415-864e-7155575e51cb · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding BigVGAN: A universal neural vocoder with large-scale training,
Reference 10
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Observation 3f7cf53c-aad0-4b93-9dba-affa46b3ca30 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding A streamwise GAN vocoder for wideband speech coding at very low bit rate,
Reference 11
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Observation d18aa35e-2e41-4ff3-a5a9-c41c87a47778 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding Lightweight and high-fidelity end-to-end text-to-speech with multi-band generation and inverse short-time Fourier transform,
Reference 12
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Observation 5a3ba894-b7d9-4001-ae47-bdd82ce0a65f · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding V ocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis,
Reference 13
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Observation e07aa6db-3cc1-4121-a499-82213eb85c95 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding WaveNeXt: ConvNeXt-based fast neural vocoder without ISTFT layer,
Reference 14
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Observation ae61b670-08f2-4623-ad5d-4210f1ac1738 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding Phase-vocoder: About this phasi- ness business,
Reference 15
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Observation 23a6fed3-26cd-4808-9446-a17f063b6b0d · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding Chunked autoregressive GAN for condi- tional waveform synthesis,
Reference 16
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Observation a2dd9e85-f6da-472e-b516-b42055f1ac88 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding Wavehax: Aliasing-free neural waveform synthesis based on 2d convolution and harmonic prior for reliable complex spectrogram estimation,
Reference 17
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Observation 7ff4e064-92dd-485d-ad44-895e286f7eee · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding Signal estimation from modified short-time Fourier transform,
Reference 18
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Observation 3caa0ea2-4aa4-465c-8891-8c09bbada452 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding FreeV: Free lunch for vocoders through pseudo inversed mel filter,
Reference 19
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Observation 9f652638-ceb5-423d-8503-dd080e84c37d · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding Is GAN necessary for mel-spectrogram-based neural vocoder?
Reference 20
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Observation c0362bfc-c3d0-4ae9-8aca-18d7e38f6645 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding Learning neural vocoder from range-null space decomposition,
Reference 21
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Observation e22b716f-f82b-4e33-b140-e4c24fd781f5 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding A ConvNet for the 2020s,
Reference 22
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Observation e5210d1f-5bf0-49ed-af12-84d56046f728 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding High-fidelity audio compression with improved RVQGAN,
Reference 23
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Observation 6c931f07-3bc6-4565-9f1e-2f0f78aaef08 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding High fi- delity neural audio compression,
Reference 24
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Observation 3652aa80-0d1e-4b9c-afb2-586ac1c7f0b6 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding Multi-scale sub- band constant-q transform discriminator for high-fidelity vocoder,
Reference 25
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Observation 68fda27e-a2f7-424e-8212-b94f2cf19d2d · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding On phase- magnitude relationships in the short-time Fourier transform,
Reference 26
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Observation be4ce4a2-e7f8-4ec4-9b4f-a10d3373f3de · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding A noniterative method for reconstruction of phase from STFT magnitude,
Reference 27
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Observation 7b705d3c-6f79-4bed-b6a0-b0df0f267072 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding Adversarial generation of time-frequency features with ap- plication in audio synthesis,
Reference 28
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Observation 89b19adb-4edf-436f-b2c2-67617e828977 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding Mel spectrogram in- version with stable pitch,
Reference 29
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Observation e870f822-db8d-4612-85a9-a986be067233 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding Online phase reconstruction via DNN-based phase differ- ences estimation,
Reference 30
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Observation 1644b215-3130-43de-9d2e-232ddb4a4aab · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding Efficient neural and numerical methods for high-quality on- line speech spectrogram inversion via gradient theorem,
Reference 31
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Observation fddb1083-3750-4256-8095-5086da14f7e7 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding STFT phase reconstruc- tion in voiced speech for an improved single-channel speech enhancement,
Reference 32
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Observation 15b4aeaf-850f-4031-a722-9965eeb30553 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding Low-latency neural speech phase pre- diction based on parallel estimation architecture and anti- wrapping losses for speech generation tasks,
Reference 33
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Observation 1f07031d-5317-4f50-9c10-bed8be8490a3 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding LibriTTS: A corpus derived from LibriSpeech for text-to-speech,
Reference 34
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Observation 9a694100-93a9-4d90-8f69-6aedf4c9fe07 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding SCOREQ: Speech quality assessment with contrastive regression,
Reference 35
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Observation 321f1128-d2b3-40c1-93cf-31bdcbdf42e8 · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding webMUSHRA — a comprehensive framework for web-based listening tests,
Reference 36
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Observation 630ce190-b480-407f-8386-e75059294d8f · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding A com- parison of recent neural vocoders for speech signal recon- struction,
Reference 37
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Observation 5d38dc6b-72dd-490f-9e89-25bab4e65b1a · outbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding APNet2: High- quality and high-efficiency neural vocoder with direct predic- tion of amplitude and phase spectra,
Reference 38
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Observation 5209250e-d653-46fc-af09-d8351e72b7f4 · inbound
Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding
Reference 2
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