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» Magnitude spectrum enhancement for robust speech recognition
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ICASSP
2011
IEEE
12 years 9 months ago
Dynamic selection of a speech enhancement method for robust speech recognition in moving motorcycle environment
We present a speech pre-processing scheme (SPPS) for robust speech recognition in the moving motorcycle environment. The SPPS is dynamically adapted during the run-time operation ...
Iosif Mporas, Todor Ganchev, Otilia Kocsis, Nikos ...
ICASSP
2010
IEEE
13 years 5 months ago
Histogram equalization and noise masking for robust speech recognition
Mismatch between training and test conditions deteriorates the performance of speech recognizers. This paper investigates the combination of parametric histogram equalization (pHE...
Xueru Zhang, Kris Demuynck, Hugo Van Hamme
ESWA
2010
154views more  ESWA 2010»
13 years 4 months ago
Robust speech interaction in motorcycle environment
Aiming at robust spoken dialogue interaction in motorcycle environment, we investigate various configurations for a speech front-end, which consists of speech pre-processing, spee...
Iosif Mporas, Otilia Kocsis, Todor Ganchev, Nikos ...
DSP
2007
13 years 5 months ago
Short-time phase spectrum in speech processing: A review and some experimental results
Incorporating information from the short-time phase spectrum into a feature set for automatic speech recognition (ASR) may possibly serve to improve recognition accuracy. Currentl...
Leigh D. Alsteris, Kuldip K. Paliwal
ICASSP
2011
IEEE
12 years 9 months ago
Amplitude modulation spectrogram based features for robust speech recognition in noisy and reverberant environments
In this contribution we present a feature extraction method that relies on the modulation-spectral analysis of amplitude fluctuations within sub-bands of the acoustic spectrum by ...
Niko Moritz, Jörn Anemüller, Birger Koll...