JSpeech: A Multi-Lingual Conversational Speech Corpus

A. J. Choobbasti, Mohammad Erfan Gholamian, Amir Vaheb, Saeid Safavi
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引用次数: 1

Abstract

Speech processing, automatic speech and speaker recognition are the major area of interests in the field of computational linguistics. Research and development of computer and human interaction, forensic technologies and dialogue systems have been the motivating factor behind this interest.In this paper, JSpeech is introduced, a multi-lingual corpus. This corpus contains 1332 hours of conversational speech from 47 different languages. This corpus can be used in a variety of studies, created from 106 public chat group the effect of language variability on the performance of speaker recognition systems and automatic language detection. To this end, we include speaker verification results obtained for this corpus using a state of the art method based on 3D convolutional neural network.
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JSpeech:一个多语言会话语音语料库
语音处理、自动语音和说话人识别是计算语言学领域的主要研究方向。计算机与人的相互作用、法医技术和对话系统的研究和发展一直是这种兴趣背后的激励因素。本文介绍了一个多语言语料库JSpeech。该语料库包含来自47种不同语言的1332小时会话语音。该语料库可用于多种研究,从106个公共聊天组中创建语言可变性对说话人识别系统和自动语言检测性能的影响。为此,我们使用基于3D卷积神经网络的最先进方法为该语料库获得了说话人验证结果。
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