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Paper Citation Record · LEDGER

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution

As of 15 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2501.10045.

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

pith.paper-citation-record.v1
2501.10045 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:27:35.376381Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:27:35.245680Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T19:27:35.596808Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f126c493-39a4-4aa4-893b-ef23f527b24c · outbound

This paper cites HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution

Reference 1

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metadata mismatch
local_arxiv, observed 2026-08-10T19:27:35.601398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 11868aff-0021-4c83-9240-33204f6451ea · outbound

This paper cites However, SR requires not only waveform reconstruction but also precise high-resolution prediction.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution However, SR requires not only waveform reconstruction but also precise high-resolution prediction

Reference 2

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0d2bf950-58bd-439a-8852-e111a31545df · outbound

This paper cites an unresolved cited work.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c8a7e779-2ce3-4594-a98b-476dbbfbcf91 · outbound

This paper cites an unresolved cited work.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Unresolved cited work

Reference 4

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raw_fallback, observed 2026-08-10T19:27:35.928792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 94dc5d04-2d0c-4da9-924e-b263d8f306bc · outbound

This paper cites Speech en- hancement via frequency bandwidth extension using line spec- tral frequencies,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Speech en- hancement via frequency bandwidth extension using line spec- tral frequencies,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-10T19:27:35.917541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:27:35.263536Z digest=sha256:7e2600e1fa3574f0274a8acae87c59468ce08d15a61a8af0397a3d94997bc60c

Observation 6d42754f-9c17-430d-bf76-2fadab36fe43 · outbound

This paper cites VoiceFixer: Toward General Speech Restoration with Neural Vocoder.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution VoiceFixer: Toward General Speech Restoration with Neural Vocoder

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.267557Z digest=sha256:e1efa8b0284943450ef8e3194256553d9397ecc800924dd1aba11eac1e88ca7a

Observation 3674f96c-ff99-4b43-b9c6-f9f75e7322e6 · outbound

This paper cites A mel-cepstral analysis technique restoring high frequency components from low-sampling-rate speech,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution A mel-cepstral analysis technique restoring high frequency components from low-sampling-rate speech,

Reference 7

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raw_fallback, observed 2026-08-10T19:27:35.906069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:27:35.271484Z digest=sha256:66d4f97504daabd3266f9c15feecc4052711fecf1d488c22e2aa7eefa954c444

Observation 4728eb77-32c6-4f39-8b6c-9e301aef2452 · outbound

This paper cites Statis- tical recovery of wideband speech from narrowband speech,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Statis- tical recovery of wideband speech from narrowband speech,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:27:35.275385Z digest=sha256:f74779f0db8d2e7f45927ac41e5edc6d000bb32ce24a817f93b158521e0c21f4

Observation 40529da6-17bf-408f-836a-259066d7554c · outbound

This paper cites Speech bandwidth extension using gaussian mixture model- based estimation of the highband mel spectrum,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Speech bandwidth extension using gaussian mixture model- based estimation of the highband mel spectrum,

Reference 9

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raw_fallback, observed 2026-08-10T19:27:35.759802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:27:35.278787Z digest=sha256:59780ee60b62b58ae73930d0f24e52d6d3e36f22fe3535c1f491e80d74a83a78

Observation fd2aa87e-686e-4dee-9e5a-de3f0ec514dc · outbound

This paper cites Memory-based approxima- tion of the gaussian mixture model framework for bandwidth extension of narrowband speech,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Memory-based approxima- tion of the gaussian mixture model framework for bandwidth extension of narrowband speech,

Reference 10

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raw_fallback, observed 2026-08-10T19:27:35.746978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:27:35.282920Z digest=sha256:62df4a70d1b1a2423153268348ffe11bb0220843b128b76e8fd96e3dc77b1091

Observation f8006935-b8c6-409e-a7a4-1f4a39980641 · outbound

This paper cites Synchronous overlap and add of spectra for enhancement of excitation in artificial bandwidth extension of speech,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Synchronous overlap and add of spectra for enhancement of excitation in artificial bandwidth extension of speech,

Reference 11

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raw_fallback, observed 2026-08-10T19:27:35.735295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:27:35.286401Z digest=sha256:585125700dd95dc5eba37304b2e6ea66647cd6122b2a9e65aa0337c9960ef76f

Observation 11693ab4-d8b6-4656-8959-106c551b3972 · outbound

This paper cites Audio super resolu- tion using neural networks,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Audio super resolu- tion using neural networks,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-10T19:27:35.722653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:27:35.290114Z digest=sha256:5dc695cd7a9e302593a0159c54ce8c3dafdab708d362e0364bbe8d7ab147b739

Observation 7ea5a7e0-fddf-4d98-88a6-ca150dc4165d · outbound

This paper cites Time-frequency networks for audio super- resolution,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Time-frequency networks for audio super- resolution,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-10T19:27:35.711052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:27:35.294182Z digest=sha256:75f8468892ba2220304769eee672be109424ba17686b565df2b4491a50b5c554

Observation 58e068f9-a004-44ff-a257-79873aab46c9 · outbound

This paper cites Speech audio super-resolution for speech recognition,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Speech audio super-resolution for speech recognition,

Reference 14

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raw_fallback, observed 2026-08-10T19:27:35.699117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:27:35.297867Z digest=sha256:561026a0588ec269373559c573e0bd4be4a2ff000ea8217ed2ae14e3bc32ef15

Observation e46b4b9f-415a-4664-a9ce-2d6f3a021c78 · outbound

This paper cites Speaker and phoneme-aware speech bandwidth ex- tension with residual dual-path network,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Speaker and phoneme-aware speech bandwidth ex- tension with residual dual-path network,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-10T19:27:35.684585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:27:35.301188Z digest=sha256:1a6631080dca2a707aabe2b83f343564bbbd6405f9b9598863d1e67e321e4875

Observation bc4ccd97-9eae-437e-b0ec-1774ce7dfeca · outbound

This paper cites Towards robust speech super- resolution,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Towards robust speech super- resolution,

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-10T19:27:35.667501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:27:35.304700Z digest=sha256:d3b65b85149dffac6052c5cc9f43d1afaed87d57b621affa6d297dec5d52828e

Observation e5bcca4f-d093-44b9-ba0b-660b62e04e4c · outbound

This paper cites NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.309153Z digest=sha256:2eecbb8718336b1e61d1c2ad8b860c77b5d5804c82ecd97b3b459093cc4cc6f4

Observation 9cd2db19-0a99-421f-a7fc-8ff0b0f527dc · outbound

This paper cites WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.312915Z digest=sha256:9048e705bd840b1a90aa8478104ce06ca69b11978f1306038ca05cf885535d77

Observation fc0b52b2-a062-40e8-93b1-1fa37172bd93 · outbound

This paper cites NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.317049Z digest=sha256:b756c47c2fa6b3895b30feb1ec75701fa2339a1dae7fe6b84b87c9a3e31a4de9

Observation e342141d-e632-4225-9fbb-2ef55e5d03ef · outbound

This paper cites Neu- ral vocoder is all you need for speech super-resolution,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Neu- ral vocoder is all you need for speech super-resolution,

Reference 20

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raw_fallback, observed 2026-08-10T19:27:35.652039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:27:35.321167Z digest=sha256:84eaf2f8af2325220cfbaa2ec8e9846d7b4f3d7edbd19eab7e32b639a9b6172a

Observation d3b33b93-c2b9-4f7c-8fc3-189e12dc9eb6 · outbound

This paper cites AudioSR: Versatile Audio Super-resolution at Scale.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution AudioSR: Versatile Audio Super-resolution at Scale

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.325429Z digest=sha256:5a7ece586195ee48161cb0d1aef3a4a92dff421c4c031913acc2dead869181ba

Observation c2162230-c407-4829-abc8-f2259cebb3e2 · outbound

This paper cites MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.329980Z digest=sha256:dbd0250388ff22e44470a979ed454d26a89640c766f8a312e883bd1df3b04244

Observation 1cd59664-8011-4b3b-abdd-476fb2bea821 · outbound

This paper cites HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.334307Z digest=sha256:a189c83ee951b650a66bec5d90763841c2c7c2371e63db6225800ba9d8d4f370

Observation 7915faf3-cfbe-4c63-85d2-564881084d29 · outbound

This paper cites MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.338237Z digest=sha256:3bd430ee4f4c1d8e64b2f0eea6e27ac79be3f9aa6b051a18b1219b5ed996c0cb

Observation 46e5d25c-c395-4ca3-81c5-77e187215e08 · outbound

This paper cites MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions

Reference 25

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verified exact
local_arxiv, observed 2026-08-10T19:27:35.488238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:27:35.342470Z digest=sha256:b50b8ccf72fb5761a1a163764c093b4872cda0b7d97b198936908a4c6147c53c

Observation a419540f-7fb6-4b75-8c5f-1b6086afdbd4 · outbound

This paper cites Deep-FSMN for Large Vocabulary Continuous Speech Recognition.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Deep-FSMN for Large Vocabulary Continuous Speech Recognition

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.346297Z digest=sha256:f89ac4c1c0e180191b69d45f36edff0241d4dd221fa05d4954175cfc0a8f0372

Observation 68d6507c-c793-4dc5-93ff-46f1ca205a62 · outbound

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

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution BigVGAN: A Universal Neural Vocoder with Large-Scale Training

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.350513Z digest=sha256:3aecaf7d3de04c4018c485bbf93753947f82f917fa730ed92212a92347cb41c4

Observation 44bdd52b-ef46-4d0f-91e2-8f33775bd92d · outbound

This paper cites High Fidelity Neural Audio Compression.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution High Fidelity Neural Audio Compression

Reference 28

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no resolver link, observed 2026-08-10T19:27:35.354237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.354237Z digest=sha256:957791e13e27a34a4b61bcce5c63608a154e52829eeb6313d93cce26240596b4

Observation af746ae4-eecd-401a-8723-5f5a39208e55 · outbound

This paper cites High-Fidelity Audio Compression with Improved RVQGAN.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution High-Fidelity Audio Compression with Improved RVQGAN

Reference 29

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no resolver link, observed 2026-08-10T19:27:35.358913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.358913Z digest=sha256:30a02542ab74f9c15d832515c5766e06c4ac4710969f29b67327d31f8b071c0b

Observation 4194de1d-8f93-40ce-8221-7218552ce846 · outbound

This paper cites Least squares generative adversarial networks,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Least squares generative adversarial networks,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:35.639488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:27:35.362788Z digest=sha256:3cdcebdd49c57c458ec390b661927451d439298d48fc6f595024b6444914950e

Observation 09c0e47e-604a-4065-bba3-0f5c9b7dc130 · outbound

This paper cites CSTR VCTK corpus: English multi-speaker corpus for cstr voice cloning toolkit,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution CSTR VCTK corpus: English multi-speaker corpus for cstr voice cloning toolkit,

Reference 31

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raw_fallback, observed 2026-08-10T19:27:35.626793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:27:35.366283Z digest=sha256:b83041ede30ea72e78c81aaf7faab47048bfc9562394011214e5f5583eb1b2a9

Observation cbbfc07c-f8c8-4409-aeea-5b45fd9e2ecd · outbound

This paper cites EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.369528Z digest=sha256:d8b1519718c5690a43e8ec5217ee3715a63c60ad4545b562a4e6420dfaf565bf

Observation f1c3188b-a450-4871-be9e-d151da94c43c · outbound

This paper cites V ocalset: A singing voice dataset,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution V ocalset: A singing voice dataset,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:35.613607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:27:35.373009Z digest=sha256:97f449b0ecb6e83c07da79e9a09d55e22b8a66131c0efb4e0dc69e15fb871856

Observation e2dcb97b-20ab-4b5d-a845-77a489d14512 · outbound

This paper cites Decoupled Weight Decay Regularization.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Decoupled Weight Decay Regularization

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:35.376381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.376381Z digest=sha256:409a9519fd4e85b9896f88f7dabb6c5d87f4b11f882f7fe5abb11220cd9e5526

Pith citing papers

Observation f126c493-39a4-4aa4-893b-ef23f527b24c · inbound

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution cites this paper.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T19:27:35.601398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:27:35.245680Z digest=sha256:113ccc1e7ee217891039419b2942dd3dab1c692aded925e0b831efc51a0990c1