Results 111 to 120 of about 2,562 (160)

Optimal Microphone Array Placement Design Using the Bayesian Optimization Method. [PDF]

Sensors (Basel)
Zhang Y, Li Z, Yiu KFC.
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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

Speech Enhancement for Cochlear Implant Recipients using Deep Complex Convolution Transformer with Frequency Transformation. [PDF]

IEEE/ACM Trans Audio Speech Lang Process
Mamun N, Hansen JHL.
europepmc   +1 more source

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Speech Dereverberation Using Variational Autoencoders

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
This paper presents a statistical method for single-channel speech dereverberation using a variational autoencoder (VAE) for modelling the speech spectra. One popular approach for modelling speech spectra is to use non-negative matrix factorization (NMF) where learned clean speech spectral bases are used as a linear generative model for speech spectra.
Deepak Baby, Herve Bourlard
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Dual microphone speech dereverberation

2007 9th International Symposium on Signal Processing and Its Applications, 2007
This paper addresses the problem of intelligibility and quality improvement for the speech corrupted due to reverberation. Several speech de-reverberation algorithms (both single- and two-channel methods) are studied and compared. Based on this study, we propose some hybrid methods to improve both intelligibility and quality of reverberated speech. The
Hamid Reza Abutalebi, Farhad Faghani
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An Overview of Speech Dereverberation

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
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Overfitting-Resistant Speech Dereverberation

2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2007
This paper proposes a method that prevents the overfitting problem inherent in the joint source-channel estimation approach to speech dereverberation. The approach has several desirable attributes such as high estimation accuracy. However, the channel-related parameters estimated with the conventional implementation of this approach often overfit the ...
Takuya Yoshioka, Tomohiro Nakatani, Takafumi Hikichi, Masato Miyoshi   +3 more
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Bayesian learning for speech dereverberation

2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP), 2016
This study presents a Bayesian approach to enhance the magnitude spectra of single-channel reverberant speech signals. Speech dereverberation model is constructed by using a nonnegative convolutive transfer function (NCTF) and a nonnegative matrix factorization (NMF).
Jen-Tzung Chien, You-Cheng Chang
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Towards Speech Recognition Oriented Dereverberation

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006
We show the effect of reverberation on the speech recognition performance in a far-field microphone. Given the reference of a close-talk microphone signal, an improvement is shown using an asymmetric non-causal inverse filter both in a synthetic and real room environment.
P. Jinachitra, R.E. Prieto
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Multimicrophone Based Speech Dereverberation

2018
Speech signal received by distant microphones in real environments contains reverberation and noise. This deteriorates the quality of received signal. However to improve the speech quality, it is essential to remove reverberation and noise. The process of removing reverberation and reproducing original speech is called dereverberation.
Seema Vitthal Arote, Mangesh Sudhir Deshpande   +1 more
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