Results 81 to 90 of about 2,995 (171)

Monaural Speech Dereverberation Using Temporal Convolutional Networks with Self Attention. [PDF]

IEEE/ACM Trans Audio Speech Lang Process, 2020
Zhao Y, Wang D, Xu B, Zhang T.
europepmc   +1 more source

DSENet: Directional Signal Extraction Network for Hearing Improvement on Edge Devices. [PDF]

IEEE Access, 2023
Kovalyov A, Patel K, Panahi I.
europepmc   +1 more source

Sparsity based formulations for dereverberation

, 2021
89
openaire   +1 more source

A two-stage deep learning algorithm for talker-independent speaker separation in reverberant conditions. [PDF]

J Acoust Soc Am, 2020
Delfarah M, Liu Y, Wang D.
europepmc   +1 more source

A Survey on Low-Latency DNN-Based Speech Enhancement. [PDF]

Sensors (Basel), 2023
Drgas S.
europepmc   +1 more source

Binaural Signal Processing in Hearing Aids.

Semin Hear, 2021
Derleth P, Georganti E, Latzel M, Courtois G, Hofbauer M, Raether J, Kuehnel V.   +6 more
europepmc   +1 more source

A Novel Artificial-Intelligence-Based Reverberation-Reduction Algorithm for Cochlear Implants Enhances Speech Intelligibility and User Experience. [PDF]

Ear Hear
Langerak NC, Stronks HC, van Marrewijk EF, Briaire JJ, Lemercier JM, Gerkmann T, Frijns JHM.   +6 more
europepmc   +1 more source

Sixty Years of Frequency-Domain Monaural Speech Enhancement: From Traditional to Deep Learning Methods. [PDF]

Trends Hear, 2023
Zheng C, Zhang H, Liu W, Luo X, Li A, Li X, Moore BCJ.   +6 more
europepmc   +1 more source

Cochlear Implant Research and Development in the Twenty-first Century: A Critical Update. [PDF]

J Assoc Res Otolaryngol, 2021
Carlyon RP, Goehring T.
europepmc   +1 more source

A systematic study of DNN based speech enhancement in reverberant and reverberant-noisy environments. [PDF]

Comput Speech Lang
Wang H, Pandey A, Wang D.
europepmc   +1 more source