Results 61 to 70 of about 926 (186)

Evaluating the effects of dereverberation techniques on speech understanding in different reverberant environments

, 2018
(Au. D.) -- Towson University, 2019Reverberation and background noise is present in almost all everyday listening situations. Reverberation times in real rooms vary widely from nearly several milliseconds up to several seconds based on the absorptive ...
DiSanti, Michael
core   +1 more source

Speech dereverberation by data-dependent beamforming with signal pre-whitening

, 2015
Among different microphone array processing techniques, data-dependent beamforming has been proven to be effective in suppressing ambient noise. When applied for dereverberation, however, the adaptation process results in a biased estimate of the ...
M. Moonen, Huleihel, Nejem, van Waterschoot, Toon, N. Huleihel, Dietzen, Thomas, A. Spriet, W. Tirry, T. van Waterschoot, Spriet, Ann, Doclo, Simon, T Dietzen, Moonen, Marc, S. Doclo, Tirry, Wouter   +13 more
core   +1 more source

ICASSP 2023 Deep Noise Suppression Challenge

IEEE Open Journal of Signal Processing
The ICASSP 2023 Deep Noise Suppression (DNS) Challenge marks the fifth edition of the DNS challenge series. DNS challenges were organized from 2019 to 2023 to foster research in the field of DNS.
Harishchandra Dubey, Ashkan Aazami, Vishak Gopal, Babak Naderi, Sebastian Braun, Ross Cutler, Alex Ju, Mehdi Zohourian, Min Tang, Mehrsa Golestaneh, Robert Aichner   +10 more
doaj   +1 more source

Fast Dereverberation for Hands-Free Speech Recognition [PDF]

, 2008
A robust dereverberation technique for real-time hands-free speech recognition application is proposed. Real-time implementation is made possible by avoiding time-consuming blind estimation. Instead, we use the impulse response by effectively identifying
Saruwatari, Hiroshi, 11728, Even, Jani, Gomez, Randy, 11729, Kiyohiro, Shikano, 11731, Kawahara, Tatsuya, 11730, 11732   +9 more
core   +2 more sources

SINGLE CHANNEL SPEECH DEREVERBERATION FOR ACOUSTIC SIGNALS

, 2013
Reverberation in speech is one of the primary factors caused by delayed image of speech signal plus the intended speech signals. Reverberation degrades the quality of the speech signal when recorded by a distant microphone and in the hands free ...
Dinakaran, Manoj, Prasad., Rotu Ramakrishna   +1 more
core  

Synthetic Wave-Geometric Impulse Responses for Improved Speech Dereverberation

, 2022
We present a novel approach to improve the performance of learning-based speech dereverberation using accurate synthetic datasets. Our approach is designed to recover the reverb-free signal from a reverberant speech signal.
Aralikatti, Rohith, Tang, Zhenyu, Manocha, Dinesh   +2 more
core  

Blind speech dereverberation using batch and sequential Monte Carlo methods

, 2008
Reverberation and noise cause significant deterioration of audio quality and intelligibility to signals recorded in acoustic environments. Bayesian dereverberation infers knowledge about the system by exploiting the statistical properties of speech and ...
James R. Hopgood, Evers, Christine, Hopgood, James R., Bell, Judith, Christine Evers, Judith Bell   +5 more
core   +1 more source

Speech denoising and dereverberation using probabilistic models

, 2001
This paper presents a unified probabilistic framework for denoising and dereverberation of speech signals. The framework transforms the denoising and dereverberation problems into Bayes-optimal signal estimation.
Li Deng, Alex Acero, Hagai Attias, John C. Platt   +3 more
core  

JOINT BLIND DEREVERBERATION AND SEPARATION OF SPEECH MIXTURES

, 2020
This paper proposes a method for jointly performing blind source separation (BSS) and blind dereverberation (BD) for speech mixtures. In most of the previous studies, BSS and BD have been explored separately.
Tariqullah Jan, Wenwu Wang
core  

Translate Reverberated Speech to Anechoic Ones: Speech Dereverberation with BERT

CoRR, 2020
Single channel speech dereverberation is considered in this work. Inspired by the recent success of Bidirectional Encoder Representations from Transformers (BERT) model in the domain of Natural Language Processing (NLP), we investigate its applicability as backbone sequence model to enhance reverberated speech signal.
openaire   +2 more sources