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» Signal Processing for Robust Speech Recognition
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NGC
2010
Springer
116views Communications» more  NGC 2010»
15 years 4 months ago
Speech Structure and Its Application to Robust Speech Processing
Speech communication consists of three steps: production, transmission, and hearing. Every step inevitably involves acoustic distortions due to gender differences, age, microphone...
Nobuaki Minematsu, Satoshi Asakawa, Masayuki Suzuk...
ICASSP
2010
IEEE
15 years 6 months ago
Robust spectro-temporal features based on autoregressive models of Hilbert envelopes
In this paper, we present a robust spectro-temporal feature extraction technique using autoregressive models (AR) of sub-band Hilbert envelopes. AR models of Hilbert envelopes are...
Sriram Ganapathy, Samuel Thomas, Hynek Hermansky
ESWA
2010
154views more  ESWA 2010»
15 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 ...
CSL
2007
Springer
15 years 5 months ago
On noise masking for automatic missing data speech recognition: A survey and discussion
Automatic speech recognition (ASR) has reached very high levels of performance in controlled situations. However, the performance degrades significantly when environmental noise ...
Christophe Cerisara, Sébastien Demange, Jea...
ICASSP
2009
IEEE
15 years 3 months ago
VLSI for 5000-word continuous speech recognition
We have developed a VLSI chip for 5,000 word speakerindependent continuous speech recognition. This chip employs a context-dependent HMM (hidden Markov model) based speech recogni...
Young-kyu Choi, Kisun You, Jungwook Choi, Wonyong ...