在资源不足的语言中设计基于IVR的电话语音数据收集和转录框架

Joyanta Basu, Soma Khan, M. S. Bepari, Rajib Roy, Madhab Pal, Sushmita Nandi
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引用次数: 4

摘要

数字语言资源的缺乏限制了印度场景中大规模语音应用的发展。本文描述了一个独特的设计框架,用于在资源不足的语言中使用交互式语音应答(IVR)技术进行电话语音数据收集。IVR系统为远程用户同时收集多语言音频资源提供了一种快速、可靠、自动化和相对低成本的媒介,并有助于对资源进行结构化存储以供进一步使用。该框架需要IVR硬件及API、相关软件工具和文本资源作为其必备组件。逐步阐述了该可运行IVR系统的详细功能设计和开发过程。示例IVR呼叫流设计模板和离线音频转录程序也提出了便于理解。整个方法是语言独立的,适用于其他语言的类似任务,特别有利于加速资源不足语言的资源创建过程,最大限度地减少数据收集和转录的手工工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing an IVR Based Framework for Telephony Speech Data Collection and Transcription in Under-Resourced Languages
Scarcity of digitally available language resources restricts development of large scale speech applications in Indian scenario. This paper describes a unique design framework for telephony speech data collection in under-resourced languages using interactive voice response (IVR) technology. IVR systems provide a fast, reliable, automated and relatively low cost medium for simultaneous multilingual audio resource collection from remote users and help in structured storage of resources for further usage. The framework needs IVR hardware & API, related software tools and text resources as its necessary components. Detailed functional design and development process of such a running IVR system are stepwise elaborated. Sample IVR call-flow design templates and offline audio transcription procedure is also presented for ease of understanding. Entire methodology is language independent and is adaptable to similar tasks in other languages and specially beneficial to accelerate resource creation process in under-resourced languages, minimizing manual efforts of data collection and transcription.
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