Results 101 to 110 of about 220 (167)

Evaluation of a spectral subtraction strategy to suppress reverberant energy in cochlear implant devices. [PDF]

J Acoust Soc Am, 2015
Kokkinakis K, Runge C, Tahmina Q, Hu Y.
europepmc   +1 more source

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

Effects of Reverberation on the Relation Between Compression Speed and Working Memory for Speech-in-Noise Perception. [PDF]

Ear Hear, 2019
Reinhart P, Zahorik P, Souza P.
europepmc   +1 more source

Advances and Challenges in Non-Contact Acoustic Signal-Based Bearing Fault Diagnosis: A Review. [PDF]

Sensors (Basel)
Zhao S, Cheng H, Zhao Y, Wang B, Huang Z.   +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

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

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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