马来语LVCSR语料库资源

T. Tan, Xiong Xiao, E. Tang, E. Chng, Haizhou Li
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引用次数: 47

摘要

本文介绍了建立马来语大词汇语音识别器所需的语音、文本和发音词典资源的开发。本项目是马来西亚南洋理工大学、马来西亚MMU和新加坡南洋理工大学三所大学的合作项目。马来语语料库由朗读(独立于说话者/独立于口音)和广播新闻组成。到目前为止,已记录了90名发言者,相当于总计近70小时的朗读演讲,并转录了马来西亚当地电视台10小时的广播新闻。文本语料库包括从1998-2008年马来西亚本地新闻网页中提取的700mb数据,并开发了基于规则的G2P工具来生成发音词典。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MASS: A Malay language LVCSR corpus resource
This paper presents the development of the speech, text and pronunciation dictionary resources required to build a large vocabulary speech recognizer for the Malay language. This project is a collaboration project among three universities: USM, MMU from Malaysia and NTU from Singapore. The Malay speech corpus consists of read speech (speaker independent/ dependent and accent independent/ dependent) and broadcast news. To date, 90 speakers have been recorded which is equal to a total of nearly 70 hours of read speech, and 10 hours of broadcast news from local TV stations in Malaysia was transcribed. The text corpus consists of 700Mbytes of data extracted from Malaysia's local news web pages from 1998–2008 and a rule based G2P tool is develop to generate the pronunciation dictionary.
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