Results 101 to 110 of about 217 (166)

Adaptation to Reverberation for Speech Perception: A Systematic Review. [PDF]

Trends Hear
Tsironis A, Vlahou E, Kontou P, Bagos P, Kopčo N.   +4 more
europepmc   +1 more source

A deep learning based segregation algorithm to increase speech intelligibility for hearing-impaired listeners in reverberant-noisy conditions. [PDF]

J Acoust Soc Am, 2018
Zhao Y, Wang D, Johnson EM, Healy EW.
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

Singing to speech conversion with generative flow. [PDF]

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

Blind binary masking for reverberation suppression in cochlear implants. [PDF]

J Acoust Soc Am, 2013
Hazrati O, Lee J, Loizou PC.
europepmc   +1 more source

Compression of room impulse responses for compact storage and fast low-latency convolution. [PDF]

EURASIP J Audio Speech Music Process
Jälmby M, Elvander F, van Waterschoot T.   +2 more
europepmc   +1 more source

Enhancing speaker identification through reverberation modeling and cancelable techniques using ANNs. [PDF]

PLoS One
Hassan ES, Neyazi B, Seddeq HS, Mahmoud AZ, Oshaba AS, El-Emary A, Abd El-Samie FE.   +6 more
europepmc   +1 more source

Robust Indoor Positioning with Smartphone by Utilizing Encoded Chirp Acoustic Signal. [PDF]

Sensors (Basel)
Cheng B, Huang Y, Zou C.
europepmc   +1 more source

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An Overview of Speech Dereverberation

Lecture Notes in Electrical Engineering, 2021
Speech dereverberation is an important preprocessing step in speech signal processing, aims at improving the sound quality by canceling or suppressing the effect of reverb. This paper provides an overview of speech dereverberation algorithms, showing the development of speech dereverberation technology.
Yuan Li, Lunhui Deng
exaly   +2 more sources

Evaluation of a dereverberation technique

Journal of Communication Disorders, 1991
A two-microphone dereverberation technique was evaluated by obtaining speech recognition measures and preference judgments from normal-hearing and hearing-impaired listeners. Monaural speech recognition performance was measured for two reverberation conditions (0.4 second and 1.2 seconds) with and without processing.
A C, Neuman, L, Eisenberg
openaire   +2 more sources