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» Articulatory features for robust visual speech recognition
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ICASSP
2008
IEEE
14 years 1 months ago
Multisensor multiband cross-energy tracking for feature extraction and recognition
In this paper, we present a multisensor multiband energy tracking scheme for robust feature extraction in noisy environments. We introduce a multisensor feature extraction algorit...
Stamatios Lefkimmiatis, Petros Maragos, Athanassio...
INTERSPEECH
2010
13 years 2 months ago
Nonlinear enhancement of onset for robust speech recognition
In this paper we present a novel algorithm called Suppression of Slowly-varying components and the Falling edge of the power envelope (SSF) to enhance spectral features for robust...
Chanwoo Kim, Richard M. Stern
ICASSP
2009
IEEE
14 years 2 months ago
Sparse imputation for noise robust speech recognition using soft masks
In previous work we introduced a new missing data imputation method for ASR, dubbed sparse imputation. We showed that the method is capable of maintaining good recognition accurac...
Jort F. Gemmeke, Bert Cranen
ISCAS
2003
IEEE
124views Hardware» more  ISCAS 2003»
14 years 22 days ago
Improving the filter bank of a classic speech feature extraction algorithm
The most popular speech feature extractor used in automatic speech recognition (ASR) systems today is the mel frequency cepstral coefficient (mfcc) algorithm. Introduced in 1980,...
Mark D. Skowronski, John G. Harris
ICASSP
2010
IEEE
13 years 7 months ago
Ultrasonic sensing for robust speech recognition
In this paper, we present our work using ultrasonic sensing of speech for digit recognition. First, a set of spectral ultrasonic features are developed and tuned in order to achie...
Sundararajan Srinivasan, Bhiksha Raj, Tony Ezzat