Identificação closed-set de Locutor em Gateways de Voz (Closed-set Speaker Identification in Speech Gateways)

Juliana Neiva (ju.neiva@gmail.com)2, Adolfo Guimarães (adolfopg@dcc.ufmg.br)1, Hendrik Macedo (hendrik@ufs.br)2


1Universidade Federal de Minas Gerais
2Universidade Federal de Sergipe

This paper appears in: Revista IEEE América Latina

Publication Date: Sept. 2014
Volume: 12,   Issue: 6 
ISSN: 1548-0992


Abstract:
It has been observed an ever increasing need to access information whenever and wherever you want, regardless the means by which it is achieved. A speech gateway proves to be an important tool to reduce the gap between information source and the individual. However, current implementations lack authentication modules for verifying the identity of system's users, which is an enjoyable feature for a sort of applications. This paper presents the construction of a speaker identification module and its integration to VoiceXML-enabled speech gateways. Feature extraction has been made with Cepstrum and Vector Quantization has been used to perform properly recognition. Experiments have shown an accuracy rate of 87% in the identification of the speaker.

Index Terms:
Speaker Identification, Speech Gateways, VoiceXML, Cepstrum, Vector Quantization   


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