Speech Corpora of Under Resourced Languages of North-East India

Barsha Deka, Joyshree Chakraborty, Abhishek Dey, Shikhamoni Nath, Priyankoo Sarmah, S. Nirmala, K. Samudravijaya
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引用次数: 12

Abstract

In this paper, we present an account of an ongoing effort in creation of speech corpora of under-resourced languages of North-East India, namely, Assamese, Bengali and Nepali. The speech corpora are being created for development of Automatic Speech Recognition system in Assamese as well as for Language Identification system. The text corpus of Assamese language comprises of 1000 sentences collected from different sources such as story books, novels, proverbs. Speech data are recorded over telephone channel using an interactive voice response system. Speakers were asked to read one or more sets of sentences, each set containing 20 sentences. Speech was simultaneously recorded using a hand-held audio recorder. While significant amount of speech data has been collected for Assamese language, the task has begun for Bengali, Nepali and English spoken by native speakers of these 3 languages. Currently, the Assamese speech database contains more than 5000 utterances by 27 native speakers. Information about the speakers such as dialect, gender, age-group were also collected. We discuss the methodology used in collecting speech samples, and present a descriptive statistics of the speech corpora.
印度东北部资源不足语言语音语料库
在本文中,我们介绍了在创建印度东北部资源不足语言的语音语料库方面正在进行的努力,即阿萨姆语,孟加拉语和尼泊尔语。正在创建语音语料库,用于开发阿萨姆语自动语音识别系统以及语言识别系统。阿萨姆语的文本语料库包括从故事书、小说、谚语等不同来源收集的1000个句子。使用交互式语音应答系统在电话信道上记录语音数据。说话者被要求阅读一组或多组句子,每组包含20个句子。讲话是用手持录音机同时录下来的。虽然已经收集了大量的阿萨姆语语音数据,但对以这三种语言为母语的孟加拉语、尼泊尔语和英语的任务已经开始。目前,阿萨姆语数据库包含27名母语人士的5000多句话语。还收集了说话人的方言、性别、年龄等信息。我们讨论了语音样本的采集方法,并对语料库进行了描述性统计。
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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