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NOLISP
2005
Springer
15 years 2 months ago
Third-Order Moments of Filtered Speech Signals for Robust Speech Recognition
Novel speech features calculated from third-order statistics of subband-filtered speech signals are introduced and studied for robust speech recognition. These features have the p...
Kevin M. Indrebo, Richard J. Povinelli, Michael T....
78
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Delta-spectral cepstral coefficients for robust speech recognition
Almost all current automatic speech recognition (ASR) systems conventionally append delta and double-delta cepstral features to static cepstral features. In this work we describe ...
Kshitiz Kumar, Chanwoo Kim, Richard M. Stern
TASLP
2008
133views more  TASLP 2008»
14 years 8 months ago
Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model
In this paper, a new method for statistical estimation of Mel-frequency cepstral coefficients (MFCCs) in noisy speech signals is proposed. Previous research has shown that model-ba...
Kevin M. Indrebo, Richard J. Povinelli, Michael T....
94
Voted
ICTAI
2007
IEEE
15 years 3 months ago
Comparative Evaluation of Speech Parameterizations for Speech Recognition
In this work, we present comparative evaluation of the practical value of some recently proposed speech parameterizations on the speech recognition task. Specifically, in a common...
Iosif Mporas, Todor Ganchev, Mihalis Siafarikas, T...
INTERSPEECH
2010
14 years 4 months ago
Robust automatic speech recognition with decoder oriented ideal binary mask estimation
In this paper, we propose a joint optimal method for automatic speech recognition (ASR) and ideal binary mask (IBM) estimation in transformed into the cepstral domain through a ne...
Lae-Hoon Kim, Kyung-Tae Kim, Mark Hasegawa-Johnson