Title :
Talking Condition Identification Using Second-Order Hidden Markov Models
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Sharjah, Sharjah
Abstract :
This work focuses on enhancing the performance of text-dependent and speaker- dependent talking condition identification systems using second-order hidden Markov models (HMM2s). Our results show that the talking condition identification performance based on HMM2s has been improved significantly compared to first-order hidden Markov models (HMMls). Our talking conditions in this work are neutral, shouted, loud, angry, happy, and fear.
Keywords :
hidden Markov models; speech recognition; second-order hidden Markov model; talking condition identification; Emotion recognition; Hidden Markov models; Markov processes; Power system modeling; Probability density function; Probability distribution; Speaker recognition; Speech recognition; Stochastic processes; Testing; confusion matrix; second-order hidden Markov models; talking condition identification;
Conference_Titel :
Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on
Conference_Location :
Damascus
Print_ISBN :
978-1-4244-1751-3
Electronic_ISBN :
978-1-4244-1752-0
DOI :
10.1109/ICTTA.2008.4530032
