Corpora for Speaker Recognition Research and Evaluation in Oriya

H. Patil, D. Prakash, B. Kar, B. Bhatta, T. Basu
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引用次数: 3

Abstract

Automatic speaker recognition (ASR) refers to the detection of a person's identity from his/her voice with the help of machines. ASR finds its potential applications in telephone based financial transactions, purchase of credit card, information retrieval for surveillance in defense and intelligence organization and study of different dialects in a particular language. In this paper, we describe the methodology and a typical experimental setup used for building up speech corpora for the text-independent speaker recognition in Indian language, viz., Oriya. Finally, an ASR system is presented for speaker identification and classification experiments.
语用说话人识别研究与评价的语料库
自动语音识别(ASR)是指在机器的帮助下,从一个人的声音中检测出他/她的身份。自动语音识别在电话金融交易、信用卡购买、国防和情报机构监控信息检索以及特定语言的不同方言研究等方面具有潜在的应用前景。在本文中,我们描述了一个典型的实验设置,用于建立语音语料库,用于印度语,即奥里亚语的文本独立说话人识别。最后,提出了一种用于说话人识别和分类实验的ASR系统。
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