Belief Hidden Markov Model for speech recognition [article]

Siwar Jendoubi
2015 arXiv   pre-print
Speech Recognition searches to predict the spoken words automatically. These systems are known to be very expensive because of using several pre-recorded hours of speech. Hence, building a model that minimizes the cost of the recognizer will be very interesting. In this paper, we present a new approach for recognizing speech based on belief HMMs instead of proba-bilistic HMMs. Experiments shows that our belief recognizer is insensitive to the lack of the data and it can be trained using only
more » ... exemplary of each acoustic unit and it gives a good recognition rates. Consequently, using the belief HMM recognizer can greatly minimize the cost of these systems.
arXiv:1501.05530v1 fatcat:cvnjohlt3nb55nwgr3bqq22pwu