Abstract

This paper describes a method for speaker identification in multiple languages that is based on Back Propagation Algorithm (BPA). The identification process goes through recording the speech utterances of different speakers in different languages, features extraction, data clustering and system training using BPA. Our database contains one sentence in 8 different Indian regional languages i.e. Hindi, English, Assami, Telugu, Punjabi, Rajasthani, Marathi & Bengali, spoken by 32 speakers in each language. With total size of 904 speech utterances, the Average performance of the system is 95.354%. These applications are mainly used in speaker Authentication, in telephony applications where the conversations can be of short durations and the language could change from one conversation to another etc.

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