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» Signal Processing for Robust Speech Recognition
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ICASSP
2010
IEEE
15 years 6 months ago
Learning with synthesized speech for automatic emotion recognition
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Bjoern Schuller, Felix Burkhardt
ICASSP
2011
IEEE
14 years 9 months ago
An analysis of machine translation and speech synthesis in speech-to-speech translation system
This paper provides an analysis of the impacts of machine translation and speech synthesis on speech-to-speech translation systems. The speech-to-speech translation system consist...
Kei Hashimoto, Junichi Yamagishi, William J. Byrne...
ICASSP
2011
IEEE
14 years 9 months ago
Automatic recognition of speech without any audio information
This article introduces automatic recognition of speech without any audio information. Movements of the tongue, lips, and jaw are tracked by an Electro-Magnetic Articulography (EM...
Panikos Heracleous, Norihiro Hagita
NOLISP
2005
Springer
15 years 11 months ago
Exploiting High-Level Information Provided by ALISP in Speaker Recognition
The best performing systems in the area of automatic speaker recognition have focused on using short-term, low-level acoustic information, such as sepstral features. Recently, vari...
Asmaa El Hannani, Dijana Petrovska-Delacrét...
SP
2002
IEEE
114views Security Privacy» more  SP 2002»
15 years 5 months ago
HMM-based techniques for speech segments extraction
The goal of the speech segments extraction process is to separate acoustic events of interest (the speech segment to be recognised) in a continuously recorded signal from other par...
Waleed H. Abdulla