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» Analysis-by-synthesis features for speech recognition
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ICMCS
2005
IEEE
145views Multimedia» more  ICMCS 2005»
14 years 3 months ago
From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification
Little attention has been paid so far to physiological signals for emotion recognition compared to audio-visual emotion channels, such as facial expressions or speech. In this pap...
Johannes Wagner, Jonghwa Kim, Elisabeth Andr&eacut...
ICBA
2004
Springer
197views Biometrics» more  ICBA 2004»
14 years 3 months ago
Maximum Likelihood and Maximum a Posteriori Adaptation for Distributed Speaker Recognition Systems
We apply the ETSI’s DSR standard to speaker verification over telephone networks and investigate the effect of extracting spectral features from different stages of the ETSI...
Chin-Hung Sit, Man-Wai Mak, Sun-Yuan Kung
TMM
2010
141views Management» more  TMM 2010»
13 years 4 months ago
Speech Emotion Analysis: Exploring the Role of Context
Automated analysis of human affective behavior has attracted increasing attention in recent years. With the research shift toward spontaneous behavior, many challenges have come to...
Ashish Tawari, Mohan M. Trivedi
MT
2002
297views more  MT 2002»
13 years 9 months ago
MARS: A Statistical Semantic Parsing and Generation-Based Multilingual Automatic tRanslation System
We present MARS (Multilingual Automatic tRanslation System), a research prototype speech-to-speech translation system. MARS is aimed at two-way conversational spoken language trans...
Yuqing Gao, Bowen Zhou, Zijian Diao, Jeffrey S. So...
ICASSP
2010
IEEE
13 years 7 months ago
Efficient online learning with individual learning-rates for phoneme sequence recognition
We describe a fast and efficient online algorithm for phoneme sequence speech recognition. Our method is using a discriminative training to update the model parameters one utteran...
Koby Crammer