Web based and voice enabled IVRS for large scale Malayalam speech data collection

P. Shobana Devi, Divya Das, J. Stephen, V. K. Bhadran
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Abstract

Speech corpora are vital resource in development and evaluation of automatic speech recognition systems, as well as for acoustic phonetic studies. Collecting a huge corpus is not an easy task. The lack of such resources is one of the reasons for the absence of good quality speech recognition systems in Indian languages. Here we have automated such process by developing web based tool for collecting broad band speech data and an IVR system with speech recognition for collecting narrow band speech data. The main features includes the full support for the typical recording, annotation and project administration workflow, easy editing of the speech content, with an advantage of a fully localizable user interface. This paper describes in detail the development of web based speech collection tool and an IVR system which will enable end-to-end building of speech corpus with minimum manual effort.
基于网络和语音的IVRS用于大规模马拉雅拉姆语语音数据收集
语音语料库是自动语音识别系统开发和评价以及声学语音研究的重要资源。收集一个庞大的语料库不是一件容易的事。缺乏这些资源是印度语言中缺乏高质量语音识别系统的原因之一。在这里,我们通过开发基于web的工具来收集宽带语音数据和一个带有语音识别的IVR系统来收集窄带语音数据,从而实现了这一过程的自动化。主要功能包括完全支持典型的录音,注释和项目管理工作流程,轻松编辑演讲内容,具有完全可本地化的用户界面的优势。本文详细介绍了基于web的语音采集工具和IVR系统的开发,该系统可以以最少的人工工作量实现端到端的语音语料库构建。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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