Results 81 to 90 of about 192 (149)

Crosstalk Suppression in a Multi-Channel, Multi-Speaker System Using Acoustic Vector Sensors. [PDF]

Sensors (Basel)
Szwoch G.
europepmc   +1 more source

A study of transformer-based end-to-end speech recognition system for Kazakh language. [PDF]

Sci Rep, 2022
Orken M, Dina O, Keylan A, Tolganay T, Mohamed O.   +4 more
europepmc   +1 more source

A zero-shot LLM framework for multimodal grievance classification, urgency scoring, and abuse detection in civic feedback systems. [PDF]

Sci Rep
Rajkumar SC, Yuvasini D, Selvarajan S, Sivakumar NR.   +3 more
europepmc   +1 more source

MYRiAD: a multi-array room acoustic database. [PDF]

EURASIP J Audio Speech Music Process, 2023
Dietzen T, Ali R, Taseska M, van Waterschoot T.   +3 more
europepmc   +1 more source

Automatic Speech Recognition Performance Improvement for Mandarin Based on Optimizing Gain Control Strategy. [PDF]

Sensors (Basel), 2022
Wang D, Wei Y, Zhang K, Ji D, Wang Y.
europepmc   +1 more source

A Phoneme-Scale Assessment of Multichannel Speech Enhancement Algorithms. [PDF]

Trends Hear
Monir NE, Magron P, Serizel R.
europepmc   +1 more source

Singing to speech conversion with generative flow. [PDF]

EURASIP J Audio Speech Music Process
Huang J, Benetos E.
europepmc   +1 more source

A talker-independent deep learning algorithm to increase intelligibility for hearing-impaired listeners in reverberant competing talker conditions. [PDF]

J Acoust Soc Am, 2020
Healy EW, Johnson EM, Delfarah M, Wang D.   +3 more
europepmc   +1 more source

Concentration, motivation, activity, and subjective fatigue in patients with single-sided deafness. [PDF]

J Laryngol Otol
Gürses E, Kılıç S, Çıldır B.
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