Results 111 to 120 of about 192 (149)

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
openaire   +1 more source

Cepstrum-based deconvolution for speech dereverberation

IEEE Transactions on Speech and Audio Processing, 1996
We present a blind deconvolution-based approach for the restoration of speech degraded by the acoustic environment. The proposed scheme processes the outputs of two microphones using cepstra operations and the theory of signal reconstruction from phase only.
Suresh Subramaniam, Athina P. Petropulu, Christopher Wendt   +2 more
openaire   +1 more source

Study on Speech Dereverberation with Autocorrelation Codebook

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007
This paper proposes a new speech dereverberation approach based on a statistical speech model. An autocorrelation codebook is introduced as a model that can represent time-varying short-time speech characteristics corresponding to the cepstrum and harmonics.
Tomohiro Nakatani, Biing-Hwang Juang, Takafumi Hikichi, Takuya Yoshioka, Keisuke Kinoshita, Marc Delcroix, Masato Miyoshi   +6 more
openaire   +1 more source

A Novel Approach for Dereverberation of Speech Signals

2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS), 2019
In this paper, we propose a novel higher-order statistics based approach to estimate the room impulse response (RIR) of a reverberating auditorium. The RIR is then used to dereverberate the speech signal. It is assumed that the RIR does not change for a brief period of time called the coherence time.
Sauradeep Dey, Pradip Sircar
openaire   +1 more source

Speech dereverberation based on a recorded handclap

2011 17th International Conference on Digital Signal Processing (DSP), 2011
A semi-blind framework for the suppression of late speech reverberation is presented. The method is based on spectral subtraction and utilizes a simple recorded handclap to estimate the Power Spectral Density (PSD) of late reverberation. A statistical analysis of measured Room Impulse Responses (RIRs) and recorded handclaps demonstrates the sufficiency
Alexandros Tsilfidis, Eleftheria Georganti, Elias K. Kokkinis, John Mourjopoulos   +3 more
openaire   +1 more source

Learning spectral mapping for speech dereverberation

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
Reverberation distorts human speech and usually has negative effects on speech intelligibility, especially for hearing-impaired listeners. It also causes performance degradation in automatic speech recognition and speaker identification systems. Therefore, the dereverberation problem must be dealt with in daily listening environments. We propose to use
Kun Han, Yuxuan Wang 0002, DeLiang Wang
openaire   +1 more source

Adaptive Multichannel Dereverberation for Automatic Speech Recognition

Interspeech 2017, 2017
Utilizing an adaptive multichannel technique to mitigate reverberation present in received audio signals, prior to providing corresponding audio data to one or more additional component(s), such as automatic speech recognition (ASR) components. Implementations disclosed herein are “adaptive”, in that they utilize a filter, in the reverberation ...
CAROSELLI JOSEPH, NARAYANAN ARUN, SHAFRAN IZHAK, ROSE RICHARD   +3 more
openaire   +4 more sources

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
openaire   +1 more source

Iterative cepstrum-based approach for speech dereverberation

ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359), 2003
This paper presents a novel approach for dereverberation of speech signals, based on an iterative cepstral separation of the non-minimum phase room response. The algorithm performs an iterative flattening of the room transfer function (RTF) magnitude spectrum prior to suppression of phase distortion. For ill-conditioned inversion problems, the proposed
Rodney A. Kennedy, Biljana D. Radlovic
openaire   +1 more source

Personalized Dereverberation of Speech

INTERSPEECH 2023, 2023
Ruilin Xu 0001, Gurunandan Krishnan, Changxi Zheng, Shree K. Nayar   +3 more
openaire   +1 more source