文章基本信息

标题：Utterance Based Speaker Identification Using ANN
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作者：Dipankar Das
期刊名称：International Journal of Computer Science, Engineering and Applications (IJCSEA)
印刷版ISSN：2231-0088
电子版ISSN：2230-9616
出版年度：2014
卷号：4
期号：4
DOI：10.5121/ijcsea.2014.4403
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In this paper we present the implementation of speaker identification system using artificial neural networkwith digital signal processing. The system is designed to work with the text-dependent speakeridentification for Bangla Speech. The utterances of speakers are recorded for specific Bangla words usingan audio wave recorder. The speech features are acquired by the digital signal processing technique. Theidentification of speaker using frequency domain data is performed using backpropagation algorithm.Hamming window and Blackman-Harris window are used to investigate better speaker identificationperformance. Endpoint detection of speech is developed in order to achieve high accuracy of the system.
关键词：Speaker identification; digital signal processing; speech feature; ANN