Results 151 to 160 of about 926 (186)

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
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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
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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
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

Blind multichannel identification for speech dereverberation and enhancement

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004
A multichannel wideband signal dereverberation and enhancement method is proposed in this paper. It uses the blindly estimated impulse responses (IR) relating the signal source and each sensor to form a multiple input inverse filter (MINT) for speech dereverberation and enhancement with extended generalized sidelobe canceller (GSC).
Zhu Liang Yu, Meng Hwa Er
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Personalized Dereverberation of Speech

INTERSPEECH 2023, 2023
Ruilin Xu 0001, Gurunandan Krishnan, Changxi Zheng, Shree K. Nayar   +3 more
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Blind Speech Dereverberation Based on a Statistical Model

2012 IEEE International Conference on Multimedia and Expo, 2012
We present an algorithm to dereverberate single-channel audio signals in both noisy and noise-free acoustical environments. Recently, the model-based dereverberation that use the statistical model for room impulse responses (RIRs) is considered to be a fairly attractive approach for reverberant speech, since existing model-based estimators show the ...
Xulei Bao, Jie Zhu 0006, Zhen Huang
openaire   +1 more source

Blind dereverberation of a speech signal

Acoustical Physics, 2008
Possibilities to eliminate the reverberation from a speech signal are investigated by applying the method based on the determination of the parameters of the reverberation frequency response from the cepstrum of the reverberation-distorted signal.
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Spectro-Temporal Neural Factorization for Speech Dereverberation

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
This study presents a spectro-temporal neural factorization (STNF) for speech dereverberation. Traditionally, a contextual window of spectro-temporal reverberant speech was unfolded into a one-way vector which was fed into a neural network to estimate the spectra of source speech at each time frame. Model parameters were trained by using the vectorized
Jen-Tzung Chien, Kuan-Ting Kuo
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Dereverberation of speech signals based on linear prediction

Interspeech 2004, 2004
This paper proposes an algorithm for the blind dereverberation of speech signals based on a two-channel linear prediction. Traditional dereverberation methods usually achieve good performance when the input signal is white noise. However, when dealing with colored signals generated by an autoregressive (AR) process such as speech, the generating AR ...
Marc Delcroix, Takafumi Hikichi, Masato Miyoshi   +2 more
openaire   +1 more source