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FTSIG
2007
136views more  FTSIG 2007»
15 years 6 months ago
The Application of Hidden Markov Models in Speech Recognition
Hidden Markov Models (HMMs) provide a simple and effective framework for modelling time-varying spectral vector sequences. As a consequence, almost all present day large vocabula...
Mark J. F. Gales, Steve Young
ICASSP
2011
IEEE
14 years 10 months ago
A logarithmic based pole-zero vocal tract model estimation for speaker verification
In this paper we investigate the use of formant and antiformant measurements of nasal consonants for speaker verification. The features are obtained using a pole-zero vocal tract...
Ewald Enzinger, Péter Balázs, Dami&a...
ICPR
2004
IEEE
16 years 7 months ago
Type-2 Fuzzy Hidden Markov Models to Phoneme Recognition
This paper presents a novel extension of Hidden Markov Models (HMMs): type-2 fuzzy HMMs (type-2 FHMMs). The advantage of this extension is that it can handle both randomness and f...
Jia Zeng, Zhi-Qiang Liu
CEC
2009
IEEE
16 years 1 months ago
Modeling multi-agent labor market based on co-evolutionary computation and game theory
— In a real-world, labor market consist of employer and employee, and these individuals form relationship through mutual interactions. This paper mainly focuses on development of...
Hee-Taek Kim, Sung-Bae Cho
EDOC
2007
IEEE
16 years 25 days ago
Model-Driven Engineering for Requirements Analysis
Requirements engineering (RE) encompasses a set of activities for eliciting, modelling, agreeing, communicating and validating requirements that precisely define the problem doma...
Benoit Baudry, Clémentine Nebut, Yves Le Tr...