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Journal of the Acoustical Society of America
A personalization framework to adapt compact models to test time environments and improve their speech enhancement (SE) performance in noisy and reverberant conditions is proposed.
Sunwoo Kim +4 more
semanticscholar +1 more source
A personalization framework to adapt compact models to test time environments and improve their speech enhancement (SE) performance in noisy and reverberant conditions is proposed.
Sunwoo Kim +4 more
semanticscholar +1 more source
Bayesian learning for speech dereverberation
2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP), 2016This 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., 2006We 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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Dereverberation Using LPC-based Approaches
2010A class of reverberant speech enhancement techniques involve processing of the linear prediction residual signal following Linear Predictive Coding (LPC). These approaches are based on the assumption that reverberation is mainly confined to the prediction residual and affects the LPC coefficients to a lesser extent.
Nikolay D. Gaubitch +2 more
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Binaural dereverberation based on interaural coherence histograms
The Journal of the Acoustical Society of America, 2013A binaural dereverberation algorithm is presented that utilizes the properties of the interaural coherence (IC) inspired by the concepts introduced in Allen et al. [J. Acoust. Soc. Am. 62, 912–915 (1977)]. The algorithm introduces a non-linear sigmoidal coherence-to-gain mapping that is controlled by an online estimate of the present coherence ...
Adam, Westermann +2 more
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Method and apparatus for dereverberation
The Journal of the Acoustical Society of America, 1999In a method and an apparatus for dereverberation provided speech from speaker is received by a first and second channel microphones which are disposed at different locations, and is input to a first and a second channel reverberant speech input terminal.
Kenichi Furuya, Yutaka Kaneda
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DEEP NEURAL NETWORK FOR DEREVERBERATION
2019Recently, deep neural networks have achieved incredible success in the area of computer vision and natural language processing. The research topics under the umbrella of speech enhancement have embraced this chance to revolutionize. Dereverberation as one such topics has gained less popularity compared to other tasks of speech enhancement such as ...
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Personalized Dereverberation of Speech
INTERSPEECH 2023, 2023Ruilin Xu +3 more
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