Spectro-Temporal Features for Automatic Speech Recognition using Linear Prediction in Spectral Domain
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Although current trends in speech processing consider deep learning through data-driven technologies, many potential applications exhibit lack of training or development data. Therefore, considerably light signal processing techniques are still of interest ...
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Although current trends in speech processing consider deep learning through data-driven technologies, many potential applications exhibit lack of training or development data. Therefore, considerably light signal processing techniques are still of interest ...
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The SNR spectrum was previously introduced as a natural consequence of using cepstral normalisa-
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by a theoretical difficulty in frequency warping, ...
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The development of an Automatic Speech Recognition (ASR) system for the bilingual MediaParl corpus is challenging for several reasons: (1) reverberant recordings, (2) accented speech, and (3) no prior information about the language. In that context, we emp ...
ISCA2014
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