Human Language Resources for Research in Multilanguage Systems, Robust Recognition, and Speaker Identification

拟议的工作创造人类语言资源，以刺激研究 在三个重要领域：（a）自动语言识别-识别所讲语言的问题; （B） 鲁棒语音识别 问题 从不同的麦克风，通信渠道， 和 环境条件;以及 （c）第（1）款 说话人识别--根据说话人的声音特征来识别说话人的问题。 为了支持自动语言识别的研究，收集了来自300名发言者的22种语言中每种语言的两分钟以上的语音。 为了支持鲁棒识别的研究，大约两分钟的细胞 来自数千名演讲者的演讲 是 正在收集。 为了支持说话人识别的研究， 演讲者在演讲过程中提供语音样本 两年内打了十通电话 对于每个语料库，语音被正字法地注释，并且每个语料库的一部分 是按照语音转录的。 迫切需要 为注释语音语料库满足了这项工作：刺激人类语言技术的三个重要领域的研究，导致安全访问信息高速公路的任何人谁讲一种语言。

The proposed work creates human language resources to stimulate research in three important areas: (a) automatic language identification-- the problem of identifying the language being spoken; (b) robust speech recognition-- the problem of recognizing speech from different microphones, communication channels, and environmental conditions; and (c) speaker recognition-- the problem of identifying a speaker based on his or her voice characteristics. To support research in automatic language identification, over two minutes of speech from 300 speakers in each of twenty two language is being collected. To support research in robust recognition, about two minutes of cellular speech from several thousand speakers is being collected. To support research in speaker recognition, twelve hundred speakers are providing speech samples during ten telephone calls over a two year period. For each corpus, the speech is annotated orthographically, and a portion of each corpus is transcribed phonetically. A critical need for annotated speech corpora is met by this work: to stimulate research in three important areas of human language technology, leading to secure access to the information highway by any person who speaks a language.