Results 31 to 40 of about 926 (186)
Robust multichannel equalization for blind speech dereverberation [PDF]
, 2016 Acoustic reverberation arises from the reflection of sound waves within an enclosed space. It is generally desirable in music reproduction but can be detrimental to speech-related applications.
Lim, Sze Chie (Felicia)
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Single-Channel Speech Enhancement Techniques for Distant Speech Recognition
Journal of Intelligent Systems, 2013 This article presents an overview of the single-channel dereverberation methods suitable for distant speech recognition (DSR) application. The dereverberation methods are mainly classified based on the domain of enhancement of speech signal captured by a
Ashwini Jaya Kumar +1 more
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EURASIP Journal on Audio, Speech, and Music Processing, 2018 The speech intelligibility of indoor public address systems is degraded by reverberation and background noise. This paper proposes a preprocessing method that combines speech enhancement and inverse filtering to improve the speech intelligibility in such
Huan-Yu Dong, Chang-Myung Lee
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工程科学与技术, 2022 The reverberant speech signal includes different frequency components induced by the effect of path delay. The frequency components are correlatedly modulated in frequency domain.
Haiyan QUAN, Tao WANG, Zhiqing ZHENG
doaj
, 2022 S.332-336In this contribution, six different single-channel dereverberation algorithms are evaluated subjectively in terms of speech intelligibility and speech quality.
Kodrasi, I. +8 more
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De-Noising Process in Room Impulse Response with Generalized Spectral Subtraction
Applied Sciences, 2021 The generalized spectral subtraction algorithm (GBSS), which has extraordinary ability in background noise reduction, is historically one of the first approaches used for speech enhancement and dereverberation. However, the algorithm has not been applied
Min Chen, Chang-Myung Lee
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Two-Microphone Dereverberation for Automatic Speech Recognition of Polish
Archives of Acoustics, 2014 Reverberation is a common problem for many speech technologies, such as automatic speech recognition (ASR) systems. This paper investigates the novel combination of precedence, binaural and statistical independence cues for enhancing reverberant speech ...
Mikolaj KUNDEGORSKI +2 more
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Expectation‐maximisation for speech source separation using convolutive transfer function
CAAI Transactions on Intelligence Technology, Volume 4, Issue 1, Page 47-53, March 2019., 2019 This study addresses the problem of under‐determined speech source separation from multichannel microphone signals, i.e. the convolutive mixtures of multiple sources. The time‐domain signals are first transformed to the short‐time Fourier transform (STFT) domain.
Xiaofei Li, Laurent Girin, Radu Horaud
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Deep Learning Methods for Underwater Target Feature Extraction and Recognition
Computational Intelligence and Neuroscience, Volume 2018, Issue 1, 2018., 2018 The classification and recognition technology of underwater acoustic signal were always an important research content in the field of underwater acoustic signal processing. Currently, wavelet transform, Hilbert‐Huang transform, and Mel frequency cepstral coefficients are used as a method of underwater acoustic signal feature extraction.
Gang Hu +6 more
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Blind‐Matched Filtering for Speech Enhancement with Distributed Microphones
Journal of Electrical and Computer Engineering, Volume 2012, Issue 1, 2012., 2012 A multichannel noise reduction and equalization approach for distributed microphones is presented. The speech enhancement is based on a blind‐matched filtering algorithm that combines the microphone signals such that the output SNR is maximized. The algorithm is developed for spatially uncorrelated but nonuniform noise fields, that is, the noise ...
Sebastian Stenzel +2 more
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