Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders | Paper Citation Record

Observation c7008f4f-997c-4145-b2f1-d3e673d7c897 · outbound

This paper cites an unresolved cited work.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:45:12.613849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 629671b6-6fbc-4dad-bddc-bbfb05a4d477 · outbound

This paper cites an unresolved cited work.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T14:45:11.304021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12ee26f0-e97c-4e33-8518-fc3bc2b54f9e · outbound

This paper cites Loizou, Speech enhancement: theory and practice , CRC press, 2007.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Loizou, Speech enhancement: theory and practice , CRC press, 2007

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.592826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ded4c603-1211-45c5-a08e-45b8b1bdbbfd · outbound

This paper cites Visual contribution to speech intelligibility in noise,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Visual contribution to speech intelligibility in noise,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.579698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 491a4d91-470a-4649-98f2-25ea05571870 · outbound

This paper cites Auditory-visual perception of speech,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Auditory-visual perception of speech,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.565651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation acbba519-13f3-49b9-b1f2-9efe11a991f6 · outbound

This paper cites Quantifying the contri- bution of vision to speech perception in noise,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Quantifying the contri- bution of vision to speech perception in noise,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.552004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fb3a5cab-00eb-4a3c-9482-6a210c01785c · outbound

This paper cites Noisy speech enhancement with ﬁlters estimated from the speaker’s lips,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Noisy speech enhancement with ﬁlters estimated from the speaker’s lips,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.527213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6acd9a29-b0c5-4e1c-a12e-84a5478ff9a8 · outbound

This paper cites Audio-visual enhancement of speech in noise,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Audio-visual enhancement of speech in noise,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.509227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 834cae07-deb6-4b51-b294-50e49b5b177a · outbound

This paper cites Learning joint statistical models for audio-visual fusion and segregation,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Learning joint statistical models for audio-visual fusion and segregation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.490400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f5dde511-01c0-4a3a-b082-b5b867631ca5 · outbound

This paper cites Audio- visual speech enhancement with A VCDCN (audio-visual codebook de- pendent cepstral normalization),.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Audio- visual speech enhancement with A VCDCN (audio-visual codebook de- pendent cepstral normalization),

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.474893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8fd76765-ce9d-4153-a954-bdad0ae8b680 · outbound

This paper cites Noisy audio feature enhancement using audio-visual speech data,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Noisy audio feature enhancement using audio-visual speech data,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.454113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3b9a4c61-560f-429a-a642-9612eb68e3c9 · outbound

This paper cites Audio-visual sound separation via hidden Markov models,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Audio-visual sound separation via hidden Markov models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.438181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a1f2e7e0-8174-48ab-9f31-940d2a99dd93 · outbound

This paper cites Twin- HMM-based audio-visual speech enhancement,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Twin- HMM-based audio-visual speech enhancement,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.422202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6e26edb4-9a61-49d9-8f5e-14f8f59bc004 · outbound

This paper cites The conversation: Deep audio-visual speech enhancement,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders The conversation: Deep audio-visual speech enhancement,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.407787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ccd475d6-62de-4105-9072-3cf96a316481 · outbound

This paper cites Visual speech enhancement,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Visual speech enhancement,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.394588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fba37467-cac2-41bb-8da9-3d89eb791317 · outbound

This paper cites Seeing through noise: Speaker separation and enhancement using visually- derived speech,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Seeing through noise: Speaker separation and enhancement using visually- derived speech,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.381198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 97b7723f-3dc7-4606-9598-a25c89da4769 · outbound

This paper cites Audio-visual speech enhancement using multimodal deep convolutional neural networks,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Audio-visual speech enhancement using multimodal deep convolutional neural networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.364137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8f558229-66e8-4afe-ad7b-629ee8decf66 · outbound

This paper cites DNN driven speaker independent audio-visual mask estima- tion for speech separation,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders DNN driven speaker independent audio-visual mask estima- tion for speech separation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.349902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 44679b8d-1000-46f5-b63e-519828c83661 · outbound

This paper cites Statistical speech enhancement based on probabilistic integration of variational autoencoder and non-negative matrix factorization,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Statistical speech enhancement based on probabilistic integration of variational autoencoder and non-negative matrix factorization,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.338473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0652c899-8792-4d9f-a735-1b50cc70d099 · outbound

This paper cites A variance modeling framework based on variational autoencoders for speech enhancement,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders A variance modeling framework based on variational autoencoders for speech enhancement,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.322861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d6a4a9a3-0203-4d27-ab28-70d5b638660b · outbound

This paper cites Bayesian multichannel speech enhancement with a deep speech prior,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Bayesian multichannel speech enhancement with a deep speech prior,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.305754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ce0dabf6-857c-4e75-a97c-e613403e893c · outbound

This paper cites Semi-supervised multichannel speech enhancement with variational autoencoders and non-negative matrix factorization,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Semi-supervised multichannel speech enhancement with variational autoencoders and non-negative matrix factorization,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.290703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 671ded5a-b614-4db0-b8c1-03312395cacd · outbound

This paper cites Speech enhancement with variational autoencoders and alpha-stable distributions,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Speech enhancement with variational autoencoders and alpha-stable distributions,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.269494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9d3e1ed5-2328-4ade-bf25-b1cd0b9c7dc8 · outbound

This paper cites A statistically principled and computationally efﬁcient approach to speech enhancement using variational autoencoders,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders A statistically principled and computationally efﬁcient approach to speech enhancement using variational autoencoders,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.253768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 30ac502a-3321-4b0d-aeef-feb246810d22 · outbound

This paper cites Learning structured output representation using deep conditional generative models,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Learning structured output representation using deep conditional generative models,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.240238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 013bee5a-ff9e-4557-9271-fcc015ad0ab4 · outbound

This paper cites Multichannel speech enhancement based on time-frequency masking using subband long short-term memory,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Multichannel speech enhancement based on time-frequency masking using subband long short-term memory,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.212220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 23f3eebf-5b09-4fdf-bfce-8bd9f137320e · outbound

This paper cites NTCD-TIMIT: A new database and baseline for noise-robust audio-visual speech recognition,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders NTCD-TIMIT: A new database and baseline for noise-robust audio-visual speech recognition,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.193989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 311c7e73-d81c-4a8a-b55f-32b144b83f31 · outbound

This paper cites An audio- visual corpus for speech perception and automatic speech recognition,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders An audio- visual corpus for speech perception and automatic speech recognition,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.179713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 361a854a-b010-4843-86b0-c0e3513155ed · outbound

This paper cites Suppression of acoustic noise in speech using spectral subtraction,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Suppression of acoustic noise in speech using spectral subtraction,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.165189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 82b9668d-09a9-4f5d-93b0-310c121c8edb · outbound

This paper cites Enhancement and bandwidth compression of noisy speech,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Enhancement and bandwidth compression of noisy speech,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.150932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 93bdc309-0ee6-4844-9962-d6a648952efc · outbound

This paper cites Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.138192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 86cc46ed-34bf-4d93-91cb-c15e8db7b82c · outbound

This paper cites Speech enhancement based on minimum mean-square error estimation and supergaussian priors,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Speech enhancement based on minimum mean-square error estimation and supergaussian priors,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.124693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 02e2f5d5-0a48-4cd9-b570-9408af27b962 · outbound

This paper cites Minimum mean-square error estimation of discrete Fourier coefﬁcients with generalized Gamma priors,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Minimum mean-square error estimation of discrete Fourier coefﬁcients with generalized Gamma priors,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.111029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4436711c-b019-43cb-92b5-33fe510dae90 · outbound

This paper cites Speech enhancement using a minimum mean-square error log-spectral amplitude estimator,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Speech enhancement using a minimum mean-square error log-spectral amplitude estimator,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.093254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d6d5fbf9-dfc9-4d3f-841e-cc48b98a095b · outbound

This paper cites Speech enhancement for non- stationary noise environments,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Speech enhancement for non- stationary noise environments,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.059835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5de5e200-2ee5-40a8-b05f-00822304d6a7 · outbound

This paper cites Nonnegative matrix factorization with the Itakura-Saito divergence: With application to music analysis,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Nonnegative matrix factorization with the Itakura-Saito divergence: With application to music analysis,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.043394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4ce2a021-955c-4cc7-8356-89eafb5b7719 · outbound

This paper cites Speech denoising using nonnegative matrix factorization with priors,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Speech denoising using nonnegative matrix factorization with priors,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.029863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d71e7f63-306c-4e64-bfcd-67d96314d1dd · outbound

This paper cites Phoneme-dependent NMF for speech enhancement in monaural mixtures,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Phoneme-dependent NMF for speech enhancement in monaural mixtures,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.016541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c1ab7e40-0eee-4981-8423-e8309e09022e · outbound

This paper cites Super- vised and unsupervised speech enhancement using nonnegative matrix factorization,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Super- vised and unsupervised speech enhancement using nonnegative matrix factorization,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:12.001774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 10ec9db3-2644-4e71-bff5-3b7aec19d7d5 · outbound

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

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Supervised speech separation based on deep learning: An overview,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.986561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d7c9c7cb-c426-4723-9792-8ea1545d0e5d · outbound

This paper cites Speech enhancement based on deep denoising autoencoder.,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Speech enhancement based on deep denoising autoencoder.,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.970454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f8c12b5e-ce13-4d27-b11c-606b5e57375e · outbound

This paper cites A regression approach to speech enhancement based on deep neural networks,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders A regression approach to speech enhancement based on deep neural networks,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.956590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 69a872fb-5fd6-4d3d-a66b-24b4097667ae · outbound

This paper cites SNR-aware convolutional neural network modeling for speech enhancement.,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders SNR-aware convolutional neural network modeling for speech enhancement.,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.940955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 25de5c91-3bc6-4408-a605-c21aa6a3627e · outbound

This paper cites Towards scaling up classiﬁcation- based speech separation,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Towards scaling up classiﬁcation- based speech separation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.923163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2373fc53-7ce2-4a5d-8cf2-18c70d7f572f · outbound

This paper cites On training targets for supervised speech separation,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders On training targets for supervised speech separation,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.907938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f95c2c60-5fec-44b5-9a6a-fabd252721bc · outbound

This paper cites Speech enhancement with LSTM recurrent neural networks and its application to noise-robust ASR,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Speech enhancement with LSTM recurrent neural networks and its application to noise-robust ASR,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.879414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3a4dc6aa-234f-4fe1-9026-7c173b351fab · outbound

This paper cites Semi-supervised learning with deep generative models,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Semi-supervised learning with deep generative models,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.862491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 835c16c2-2342-41ae-b37c-cb274b290841 · outbound

This paper cites Su- pervised determined source separation with multichannel variational autoencoder,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Su- pervised determined source separation with multichannel variational autoencoder,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.849629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d2847e9e-472d-409f-adb5-e17b6dc9b350 · outbound

This paper cites Fast MV AE: Joint separation and classiﬁcation of mixed sources based on multichannel variational autoencoder with auxiliary classiﬁer,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Fast MV AE: Joint separation and classiﬁcation of mixed sources based on multichannel variational autoencoder with auxiliary classiﬁer,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.836579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 864caa5d-108a-4017-b295-aaa90e3daa9e · outbound

This paper cites Joint separation and dereverberation of reverberant mixtures with multichannel variational autoencoder,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Joint separation and dereverberation of reverberant mixtures with multichannel variational autoencoder,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.825026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 03f09753-fa55-4748-93f4-2c91c2264228 · outbound

This paper cites Visually derived wiener ﬁlters for speech enhancement,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Visually derived wiener ﬁlters for speech enhancement,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.808923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 43fd8a9e-f3e9-4cc2-badd-0c441fcbaebf · outbound

This paper cites A Monte Carlo implementation of the EM algorithm and the poor man’s data augmentation algorithms,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders A Monte Carlo implementation of the EM algorithm and the poor man’s data augmentation algorithms,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.795862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f4850585-2ccd-41f0-b6f6-580dac31bb02 · outbound

This paper cites An introduction to variational methods for graphical models,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders An introduction to variational methods for graphical models,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.782106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4c6704d0-a9c3-403a-9839-d10803fb7c9f · outbound

This paper cites Variational inference: A review for statisticians,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Variational inference: A review for statisticians,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.769023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6d68849c-2e1e-4765-a36b-0e28a6d487a1 · outbound

This paper cites End-to-end audiovisual speech recognition,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders End-to-end audiovisual speech recognition,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.756461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 53c8559c-a78d-4ca8-a995-cde49a9629aa · outbound

This paper cites β-vae: Learning basic visual concepts with a constrained variational framework,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders β-vae: Learning basic visual concepts with a constrained variational framework,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.744665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2e542ef6-3800-4e35-a644-0d918e3df91b · outbound

This paper cites Maximum likelihood from incomplete data via the EM algorithm,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Maximum likelihood from incomplete data via the EM algorithm,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.732634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 33a4f9f6-7fc6-4ce2-9718-f6779e63a09c · outbound

This paper cites Robert and George Casella, Monte Carlo Statistical Methods, Springer-Verlag New York, Inc., Secaucus, NJ, USA, 2005.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Robert and George Casella, Monte Carlo Statistical Methods, Springer-Verlag New York, Inc., Secaucus, NJ, USA, 2005

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.720347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0efd91c3-876a-408a-ad91-08c29b454069 · outbound

This paper cites Algorithms for nonnegative matrix factorization with the β-divergence,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Algorithms for nonnegative matrix factorization with the β-divergence,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.706880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a3f14744-a74c-4a87-8109-23d3b6178e52 · outbound

This paper cites TIMIT acoustic phonetic continuous speech corpus,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders TIMIT acoustic phonetic continuous speech corpus,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.694380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation aecb510f-2812-4c76-8a6b-4242912e5f90 · outbound

This paper cites FaNT– ﬁltering and noise adding tool,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders FaNT– ﬁltering and noise adding tool,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.682684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 659d9c5e-ffed-48eb-b23d-d8126a94ddb7 · outbound

This paper cites The Diverse Environments Multi-channel Acoustic Noise Database (DEMAND): A database of multichannel environmental noise recordings,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders The Diverse Environments Multi-channel Acoustic Noise Database (DEMAND): A database of multichannel environmental noise recordings,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.669976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b51a9af4-ff1e-4d80-8fef-8dacbb0d6de2 · outbound

This paper cites Super- vised and semi-supervised separation of sounds from single-channel mixtures,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Super- vised and semi-supervised separation of sounds from single-channel mixtures,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.658562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2e99b071-5ab3-4749-aef5-4ec8c95a92e5 · outbound

This paper cites A non-negative approach to semi-supervised separation of speech from noise with the use of tem- poral dynamics,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders A non-negative approach to semi-supervised separation of speech from noise with the use of tem- poral dynamics,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.646457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 27561b21-ff14-414a-8a99-06eaf7ccb815 · outbound

This paper cites Adam: A method for stochastic optimization,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Adam: A method for stochastic optimization,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.634266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 54ab7c16-5132-4466-a5b6-73a1e3f8c67d · outbound

This paper cites Performance measurement in blind audio source separation,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Performance measurement in blind audio source separation,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.623405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d84353a0-2f61-44ef-ace0-1c29e773900c · outbound

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

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.612573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6e8f2e81-f7aa-49fc-a504-af6179aceab3 · outbound

This paper cites An algorithm for intelligibility prediction of time–frequency weighted noisy speech,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders An algorithm for intelligibility prediction of time–frequency weighted noisy speech,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.599983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b85b6ef8-14b3-413a-af2c-c6f663a75414 · outbound

This paper cites A deep generative model of speech complex spectrograms,.

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders A deep generative model of speech complex spectrograms,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:45:11.587305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers