A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement | Paper Citation Record

Observation 716356ac-dce1-4229-a302-bf7d2a6b2a6f · outbound

This paper cites Speech en- hancement and recognition using multi-task learning of long short-term memory recurrent neural networks,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Speech en- hancement and recognition using multi-task learning of long short-term memory recurrent neural networks,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:05.320283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62598bbe-3409-4f44-bb53-30fcd5f25149 · outbound

This paper cites Design of matrix Wiener filter for noise reduction and speech enhancement in hearing aids,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Design of matrix Wiener filter for noise reduction and speech enhancement in hearing aids,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:05.416221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e66ba0d-f28c-45d0-aad0-653a66b329f6 · outbound

This paper cites Real-time speech enhancement using an efficient convolutional recurrent network for dual-microphone mobile phones in close-talk scenarios,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Real-time speech enhancement using an efficient convolutional recurrent network for dual-microphone mobile phones in close-talk scenarios,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:05.533821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46ba6a5f-de3c-424a-854e-4c268fbc1bd1 · outbound

This paper cites Towards efficient models for real-time deep noise suppression,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Towards efficient models for real-time deep noise suppression,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:25.245825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 249ed92b-9bd7-4a6c-9b54-edc34e93a742 · outbound

This paper cites Speech dereverberation with frequency domain autoregressive modeling,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Speech dereverberation with frequency domain autoregressive modeling,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:25.120141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6993f4ea-a360-47bf-b4a9-1cb3581fe9e8 · outbound

This paper cites Towards robust speech super-resolution,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Towards robust speech super-resolution,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:24.960601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dc98e143-e3e9-4587-a1e5-3193e1bbdd4a · outbound

This paper cites Towards generalized speech en- hancement with generative adversarial networks,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Towards generalized speech en- hancement with generative adversarial networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:24.828371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 08e94d8c-a003-45ca-a6e6-37eba284a952 · outbound

This paper cites Cascaded time + time-frequency unet for speech enhancement: Jointly addressing clipping, codec distortions, and gaps,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Cascaded time + time-frequency unet for speech enhancement: Jointly addressing clipping, codec distortions, and gaps,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:24.698350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ff7ed7c1-d1f2-4b2a-bc02-fb077aceb2c2 · outbound

This paper cites Universal Speech Enhancement with Score-based Diffusion.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Universal Speech Enhancement with Score-based Diffusion

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:06.031442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef1052c3-dfb5-4117-85ec-480935b3bf63 · outbound

This paper cites Universal score- based speech enhancement with high content preservation,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Universal score- based speech enhancement with high content preservation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:24.490341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f8ff8762-09a2-4b2a-b197-1957f6ccf1cd · outbound

This paper cites SDW-SWF: Speech distortion weighted single-channel Wiener filter for noise reduction,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement SDW-SWF: Speech distortion weighted single-channel Wiener filter for noise reduction,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:24.356752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eae5353b-a5ab-4de0-9778-92b00a7e98ff · outbound

This paper cites Supervised speech separation based on deep learning: An overview,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Supervised speech separation based on deep learning: An overview,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:24.135690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7aa6e7a1-b29a-483b-bc55-07633f11ad57 · outbound

This paper cites The unimportance of phase in speech enhance- ment,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement The unimportance of phase in speech enhance- ment,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:23.932866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d946e870-f974-453f-a175-ee110b30f3e3 · outbound

This paper cites STFT phase reconstruction in voiced speech for an improved single-channel speech enhancement,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement STFT phase reconstruction in voiced speech for an improved single-channel speech enhancement,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:23.699382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 593aa040-7cf0-4663-b505-41e5633e148b · outbound

This paper cites Complex ratio masking for monaural speech separation,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Complex ratio masking for monaural speech separation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:23.480376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d3c75c57-9514-4b70-96f6-be5719ff4de3 · outbound

This paper cites Complex spectrogram enhancement by convolutional neural network with multi-metrics learn- ing,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Complex spectrogram enhancement by convolutional neural network with multi-metrics learn- ing,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:23.282431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9c80430d-9df9-479a-bc89-7b26e3261923 · outbound

This paper cites On the compensation between magnitude and phase in speech separation,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement On the compensation between magnitude and phase in speech separation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:23.035880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 10f5013e-3d1b-4d2c-8017-df727aa974ec · outbound

This paper cites CMGAN: Conformer-based metric-gan for monaural speech enhancement,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement CMGAN: Conformer-based metric-gan for monaural speech enhancement,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:22.773303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d05ca07b-b95c-481e-8424-84d7b2396224 · outbound

This paper cites SEGAN: Speech enhancement generative adversarial network,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement SEGAN: Speech enhancement generative adversarial network,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:22.495067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a10c51fe-51fc-4b33-b83c-367c99f82d7f · outbound

This paper cites SE-Conformer: Time-domain speech enhancement using conformer,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement SE-Conformer: Time-domain speech enhancement using conformer,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:22.194680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5b35036e-2211-4302-a5a0-699487118354 · outbound

This paper cites WSRGlow: A glow- based waveform generative model for audio super-resolution,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement WSRGlow: A glow- based waveform generative model for audio super-resolution,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:22.062519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ffc1f071-626b-4856-93ad-07c3747f5b74 · outbound

This paper cites Auto-encoding variational Bayes,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Auto-encoding variational Bayes,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:21.929041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 00af0251-0d56-4d00-9914-228b15820ea0 · outbound

This paper cites Generative adversarial nets,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Generative adversarial nets,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:21.854984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 167f40c3-a57c-456b-8d41-a557f860f1cf · outbound

This paper cites Variational inference with normalizing flows,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Variational inference with normalizing flows,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:21.760844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 46f82160-a371-4091-863b-1506a109d80b · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:21.677254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c798cd8b-5231-4839-bc93-f51bdc40c5f2 · outbound

This paper cites Denoising diffusion probabilistic models,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Denoising diffusion probabilistic models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:21.594820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 71421055-5139-4eb8-8b8c-1cc9ad662620 · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement High- resolution image synthesis with latent diffusion models,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:21.509062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7d48cf85-4982-4034-a6de-64381423c383 · outbound

This paper cites Diffusion models beat GANs on image synthesis,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Diffusion models beat GANs on image synthesis,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:21.431910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation db91a5cc-d604-492f-8c73-cbd2db6795c9 · outbound

This paper cites Conditional diffusion probabilistic model for speech enhancement,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Conditional diffusion probabilistic model for speech enhancement,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:21.347699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 11eaf220-643a-4cd9-8a78-94731403a563 · outbound

This paper cites Speech enhancement with score-based generative models in the complex STFT domain,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Speech enhancement with score-based generative models in the complex STFT domain,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:21.276603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 48970a6e-8cc8-4e79-b7a9-2687dba3f732 · outbound

This paper cites Speech enhancement and dereverberation with diffusion-based genera- tive models,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Speech enhancement and dereverberation with diffusion-based genera- tive models,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:21.211424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 71787c70-8afe-460f-800b-cda0559d45e9 · outbound

This paper cites StoRM: A diffusion-based stochastic regeneration model for speech enhancement and dereverberation,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement StoRM: A diffusion-based stochastic regeneration model for speech enhancement and dereverberation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:21.130705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b46871ce-56d1-4769-8fca-cde1c2771ab0 · outbound

This paper cites Score-based generative modeling through stochastic differ- ential equations,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Score-based generative modeling through stochastic differ- ential equations,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:08.846064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20dd84bd-05e3-4102-bf29-3aeed8371020 · outbound

This paper cites Estimation of non-normalized statistical models by score matching,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Estimation of non-normalized statistical models by score matching,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:21.053168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a94dab9-1b71-4a64-90ba-17bd12eaaa78 · outbound

This paper cites SRTNet: Time domain speech enhancement via stochastic refinement,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement SRTNet: Time domain speech enhancement via stochastic refinement,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:21.002799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f660b753-badb-427d-8b0a-a7efb613c0f5 · outbound

This paper cites Reducing the prior mismatch of stochastic differential equations for diffusion-based speech enhancement,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Reducing the prior mismatch of stochastic differential equations for diffusion-based speech enhancement,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.938463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5229341e-bdb8-4529-82a0-d2b0b3c6eab3 · outbound

This paper cites Schr ¨odinger bridge for generative speech enhancement,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Schr ¨odinger bridge for generative speech enhancement,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.865167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation faf033a5-86e1-4153-8f2d-fc60cd1d494a · outbound

This paper cites Investigating Training Objectives for Generative Speech Enhancement.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Investigating Training Objectives for Generative Speech Enhancement

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:09.764102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83e33e75-accc-46a1-89c2-e7a64eb248ca · outbound

This paper cites Reverse-time diffusion equation models,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Reverse-time diffusion equation models,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.798766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 956fb354-0aff-43b5-b3f3-ba83b30edce1 · outbound

This paper cites A connection between score matching and denoising au- toencoders,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement A connection between score matching and denoising au- toencoders,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.740705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 907f9ce7-840c-4be4-99fa-9390c305cf94 · outbound

This paper cites an unresolved cited work.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:24:20.669457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d171b47-8d30-460d-96d1-c6b3db313eb9 · outbound

This paper cites Correlation functions and computer simulations,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Correlation functions and computer simulations,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.616617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 29b3686b-6a75-443f-878a-0554ea20c077 · outbound

This paper cites LiSenNet: Lightweight Sub-band and Dual-Path Modeling for Real-Time Speech Enhancement.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement LiSenNet: Lightweight Sub-band and Dual-Path Modeling for Real-Time Speech Enhancement

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:24:14.702747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4ce15b95-6eee-4900-b5af-8b1f9a07c9d8 · outbound

This paper cites Perceptual linear predictive (PLP) analysis of speech.,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Perceptual linear predictive (PLP) analysis of speech.,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.556666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9ef14024-6dc1-4b19-ba24-8df8417dfbd0 · outbound

This paper cites MetricGAN: Generative adversarial networks based black-box metric scores optimization for speech enhancement,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement MetricGAN: Generative adversarial networks based black-box metric scores optimization for speech enhancement,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.500655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6fc95435-c716-4e45-937f-54de7ea01ea8 · outbound

This paper cites /spl beta/-order MMSE spectral amplitude estimation for speech enhancement,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement /spl beta/-order MMSE spectral amplitude estimation for speech enhancement,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.439765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aa8e07d6-1105-454b-bf03-0e8530dfd518 · outbound

This paper cites A consolidated view of loss functions for supervised deep learning-based speech enhancement,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement A consolidated view of loss functions for supervised deep learning-based speech enhancement,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.373489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fc6c59d1-02ba-4d5c-9b71-26d1a5b27184 · outbound

This paper cites U-Net: Convolutional net- works for biomedical image segmentation,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement U-Net: Convolutional net- works for biomedical image segmentation,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:20.180083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5884eabb-e41a-4eee-94eb-26be67a41819 · outbound

This paper cites Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:19.940339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9b67962f-7487-486e-bc64-1fc99f63cbb7 · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Fourier features let networks learn high frequency functions in low dimensional domains,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:19.772693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dc62274f-4101-4084-bb18-add4684c652d · outbound

This paper cites Dual-Path RNN: Efficient long sequence modeling for time-domain single-channel speech separation,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Dual-Path RNN: Efficient long sequence modeling for time-domain single-channel speech separation,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:19.600207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 699c61af-c1d2-4408-83c3-e82a52484c92 · outbound

This paper cites DPCRN: Dual-path convolution recurrent network for single channel speech enhancement,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement DPCRN: Dual-path convolution recurrent network for single channel speech enhancement,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:19.396301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 014f1c48-a188-4599-88ba-942ac7ef487e · outbound

This paper cites DPT-FSNet: Dual-path trans- former based full-band and sub-band fusion network for speech enhance- ment,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement DPT-FSNet: Dual-path trans- former based full-band and sub-band fusion network for speech enhance- ment,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:19.158100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b205694-cfd3-4083-805a-cab046bcd506 · outbound

This paper cites Attention is all you need,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Attention is all you need,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:19.017463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e2d9f80-c5bc-468b-86d8-483a9d8eb9bd · outbound

This paper cites TransNeXt: Robust foveal visual perception for vision trans- formers,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement TransNeXt: Robust foveal visual perception for vision trans- formers,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:18.875059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a8fc7525-a10a-4722-ac59-ecb2d72e5d40 · outbound

This paper cites Xception: Deep learning with depthwise separable convo- lutions,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Xception: Deep learning with depthwise separable convo- lutions,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:18.651534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4bcfc627-8130-47e1-9fa1-c0cc91ef5ad8 · outbound

This paper cites Mish: A Self Regularized Non-Monotonic Activation Function.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Mish: A Self Regularized Non-Monotonic Activation Function

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:12.307546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3c196c3-d4e3-432b-a0fd-520033d1df33 · outbound

This paper cites A novel noise-aware deep learning model for underwater acoustic denoising,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement A novel noise-aware deep learning model for underwater acoustic denoising,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:18.407951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6fff9da2-e798-40a7-aa85-a5c5b7150cbc · outbound

This paper cites VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:12.388358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f58bf50-c3ee-4a16-888e-e16d4cf7da2e · outbound

This paper cites Accelerating Diffusion Models via Early Stop of the Diffusion Process.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Accelerating Diffusion Models via Early Stop of the Diffusion Process

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:12.445142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4bcbe22-253e-44ba-ab4b-0995de6fa805 · outbound

This paper cites Truncated diffu- sion probabilistic models and diffusion-based adversarial auto-encoders,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Truncated diffu- sion probabilistic models and diffusion-based adversarial auto-encoders,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:18.237514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9685b651-acc4-4dcc-91d6-3f6710e0f1f4 · outbound

This paper cites ICASSP 2024 speech signal improvement challenge,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement ICASSP 2024 speech signal improvement challenge,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:18.049691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 214e8d44-2ce5-405a-87ef-bed6259fc1f8 · outbound

This paper cites CSR-I (WSJ0) Com- plete.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement CSR-I (WSJ0) Com- plete

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:17.830129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b1ab0b4-88a6-456a-b213-59835214521f · outbound

This paper cites WHAM!: Extending speech separation to noisy environments,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement WHAM!: Extending speech separation to noisy environments,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:17.677720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3fdfe0fe-9990-4745-9c92-b48a2a556ed0 · outbound

This paper cites Investi- gating RNN-based speech enhancement methods for noise-robust Text- to-Speech,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Investi- gating RNN-based speech enhancement methods for noise-robust Text- to-Speech,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:17.537166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cfad495d-cf93-4b0d-a008-e4c45f86a98d · outbound

This paper cites The voice bank corpus: Design, collection and data analysis of a large regional accent speech database,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement The voice bank corpus: Design, collection and data analysis of a large regional accent speech database,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:17.365286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 85c57405-355a-44fc-84bf-afb04d9b53f2 · outbound

This paper cites The diverse environments multi- channel acoustic noise database: A database of multichannel environ- mental noise recordings,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement The diverse environments multi- channel acoustic noise database: A database of multichannel environ- mental noise recordings,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:17.274366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2f699493-b539-465f-ba04-e1e10d1b99d8 · outbound

This paper cites “Colorless.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement “Colorless

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:17.205350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ca7c1da7-ee8f-477e-9c90-056c0984ecf4 · outbound

This paper cites TIMIT Acoustic-Phonetic Continuous Speech Corpus.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement TIMIT Acoustic-Phonetic Continuous Speech Corpus

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:17.118394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b17a0026-1d1f-4b78-b888-d51a98d2f7b1 · outbound

This paper cites Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:16.930761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 67746058-b3ab-46ee-8d91-97fb9823d5b8 · outbound

This paper cites An algorithm for predicting the intelligibility of speech masked by modulated noise maskers,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement An algorithm for predicting the intelligibility of speech masked by modulated noise maskers,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:16.721579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bfae7291-8b47-43c6-803d-1dd0051d558c · outbound

This paper cites Evaluation of objective quality measures for speech enhancement,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Evaluation of objective quality measures for speech enhancement,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:16.541821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9d41fafd-571d-4fd6-b1ce-9f53864a48ac · outbound

This paper cites HIFI++: A unified framework for bandwidth extension and speech enhancement,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement HIFI++: A unified framework for bandwidth extension and speech enhancement,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:16.295677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8b99624a-e29a-420c-ac13-b01c572b0b95 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:16.133672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8b4dab04-5d7e-4dde-abbc-85bc8e318094 · outbound

This paper cites ViSQOL v3: An open source production ready objective speech and audio metric,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement ViSQOL v3: An open source production ready objective speech and audio metric,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:15.935720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cca8e975-4635-45fb-8805-c5757b6da95b · outbound

This paper cites Distance measures for speech processing,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Distance measures for speech processing,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:15.727430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3b51a6d6-d1fa-45d4-88be-d5656de7cb81 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Image quality assessment: from error visibility to structural similarity,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:13.997307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86e5fe76-5af7-4bac-b698-621d09e1df40 · outbound

This paper cites Squeezeformer: An efficient transformer for automatic speech recognition,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Squeezeformer: An efficient transformer for automatic speech recognition,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:15.624026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cd9de103-4989-48f2-bd1e-c040a9d3ab15 · outbound

This paper cites Improved techniques for training score-based generative models,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Improved techniques for training score-based generative models,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:15.469187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5b3b72f5-47e2-4ad6-90fc-50fc2df172b2 · outbound

This paper cites Conv-TasNet: Surpassing ideal time- frequency magnitude masking for speech separation,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Conv-TasNet: Surpassing ideal time- frequency magnitude masking for speech separation,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:15.296725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation edc07c6a-688a-4dba-a40b-3f3a9f5954f9 · outbound

This paper cites MANNER: Multi-view attention network for noise erasure,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement MANNER: Multi-view attention network for noise erasure,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:15.149360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 766f0514-309f-4bb6-8a14-554d66a95834 · outbound

This paper cites Conformer: Convolution-augmented transformer for speech recognition,.

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Conformer: Convolution-augmented transformer for speech recognition,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:14.988568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 610748a8-191a-4b23-98d7-8dc2d555d103 · outbound

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

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement Neural vocoder is all you need for speech super-resolution,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:14.880228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers