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Front-end for Far-field Speech Recognition based on Frequency Domain Linear Prediction
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Idiap2012Beamforming with a Maximum Negentropy Criterion
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In this paper, we address a beamforming application based on the capture of far-field speech data from a single speaker in a real meeting room. After the position of the speaker is estimated by a speaker tracking system, we construct a subband-domain beamf ...
2009Front-end for Far-field Speech Recognition based on Frequency Domain Linear Prediction
Hynek Hermansky, Sriram Ganapathy, Samuel Thomas
Automatic Speech Recognition (ASR) systems usually fail when they encounter speech from far-field microphone in reverberant environments. This is due to the application of short-term feature extraction techniques which do not compensate for the artifacts i ...
2008Recognition Of Reverberant Speech Using Frequency Domain Linear Prediction
Hynek Hermansky, Sriram Ganapathy, Samuel Thomas
Performance of a typical automatic speech recognition (ASR) system severely degrades when it encounters speech from reverberant environments. Part of the reason for this degradation is the feature extraction techniques that use analysis windows which are m ...
2008Recognition Of Reverberant Speech Using Frequency Domain Linear Prediction
Hynek Hermansky, Sriram Ganapathy, Samuel Thomas
Performance of a typical automatic speech recognition (ASR) system severely degrades when it encounters speech from reverberant environments. Part of the reason for this degradation is the feature extraction techniques that use analysis windows which are m ...
IDIAP2008Hilbert Envelope Based Features for Far-Field Speech Recognition
Hynek Hermansky, Sriram Ganapathy, Samuel Thomas
Automatic speech recognition (ASR) systems, trained on speech signals from close-talking microphones, generally fail in recognizing far-field speech. In this paper, we present a Hilbert Envelope based feature extraction technique to alleviate the artifacts ...
2008Hilbert Envelope Based Features for Far-Field Speech Recognition
Hynek Hermansky, Sriram Ganapathy, Samuel Thomas
Automatic speech recognition (ASR) systems, trained on speech signals from close-talking microphones, generally fail in recognizing far-field speech. In this paper, we present a Hilbert Envelope based feature extraction technique to alleviate the artifacts ...
IDIAP2008