Discrete Time Processing of Speech Signals
Discrete Time Processing of Speech Signals
Frame length selection in speaker verification task
WSEAS TRANSACTIONS on SYSTEMS
Optimizing features extraction parameters for speaker verification
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
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In this paper we propose an engineering approach for fast prototyping of a HMM-based speech recognizer. The presented system has been specifically used for words and sentences recognition of a regional variety of Italian. Experimental results have been obtained using the AVIP corpus of Italian spontaneous speech. The prototyping system is based on the "Khoros" software framework, which offers the possibility of creating a processing system that can be easily modified and extended, while keeping the needed software modularity.