Results 81 to 90 of about 220 (167)

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

Towards decoupling frontend enhancement and backend recognition in monaural robust ASR. [PDF]

Comput Speech Lang
Yang Y, Pandey A, Wang D.
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

Multichannel speech enhancement for automatic speech recognition: a literature review. [PDF]

PeerJ Comput Sci
Zaland Z, Mustafa MB, Mat Kiah ML, Ting HN, Mohamed Yusoof MA, Mohd Don Z, Muthaiyah S.   +6 more
europepmc   +1 more source

Generative AI-driven synthetic media risks in digital health: implications for telemedicine and teledentistry. [PDF]

Front Public Health
Jędrasiak K, Bijoch J.
europepmc   +1 more source

Two-stage Deep Learning for Noisy-reverberant Speech Enhancement. [PDF]

IEEE/ACM Trans Audio Speech Lang Process, 2019
Zhao Y, Wang ZQ, Wang D.
europepmc   +1 more source

F 0 Estimation and Voicing Detection With Cascade Architecture in Noisy Speech. [PDF]

IEEE/ACM Trans Audio Speech Lang Process, 2023
Zhang Y, Wang H, Wang D.
europepmc   +1 more source

CGA-MGAN: Metric GAN Based on Convolution-Augmented Gated Attention for Speech Enhancement. [PDF]

Entropy (Basel), 2023
Chen H, Zhang X.
europepmc   +1 more source

A Spectrum of Intraoperative and Postoperative Complications of Cochlear Implants: A Critical Review. [PDF]

Cureus, 2022
Sahai I, Ghosh B, Anjankar A.
europepmc   +1 more source

Self-attending RNN for Speech Enhancement to Improve Cross-corpus Generalization. [PDF]

IEEE/ACM Trans Audio Speech Lang Process, 2022
Pandey A, Wang D.
europepmc   +1 more source