Endangered Language Documentation: Bootstrapping a Chatino Speech Corpus, Forced Aligner, ASR

Endangered Language Documentation: Bootstrapping a Chatino Speech Corpus, Forced Aligner, ASR
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濒危语言文档:引导 Chatino 语音语料库、强制对齐器、ASR

DOI:
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发表时间:
2016
期刊:
International Conference on Language Resources and Evaluation
影响因子:
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通讯作者:
Hilaria Cruz
Hilaria Cruz
中科院分区:
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文献类型:
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作者:
Malgorzata E Ćavar;D. Cavar;Hilaria Cruz

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这个项目从一个相当非传统的角度来探讨语言文献和复兴的问题。为了改善和促进濒危语言的语言记录,我们尝试使用语料库语言学方法和语音和语言技术,以减少所需的时间转录和注释的音频和视频语言记录。本文以濒危和资源严重不足的东查蒂诺(CTP)品种为例,展示了这种方法。我们展示了如何创建初始语音语料库,通过利用强制对齐工具对转录进行时间对齐,从而促进资源不足语言的语音和语言技术的开发。时间对齐的转录可以用于训练语音语料库,并利用自动语音识别工具对未转录的数据进行转录和注释。语音技术可用于减少数字语言档案中大量音频和视频记录的转录和注释所需的时间和精力,解决大多数语言档案和许多文献不足的语言所面临的转录瓶颈问题。这种方法可以增加从低资源和濒危语言到语音和语言技术研究和开发的语言资源的可用性。
This project approaches the problem of language documentation and revitalization from a rather untraditional angle. To improve and facilitate language documentation of endangered languages, we attempt to use corpus linguistic methods and speech and language technologies to reduce the time needed for transcription and annotation of audio and video language recordings. The paper demonstrates this approach on the example of the endangered and seriously under-resourced variety of Eastern Chatino (CTP). We show how initial speech corpora can be created that can facilitate the development of speech and language technologies for under-resourced languages by utilizing Forced Alignment tools to time align transcriptions. Time-aligned transcriptions can be used to train speech corpora and utilize automatic speech recognition tools for the transcription and annotation of untranscribed data. Speech technologies can be used to reduce the time and effort necessary for transcription and annotation of large collections of audio and video recordings in digital language archives, addressing the transcription bottleneck problem that most language archives and many under-documented languages are confronted with. This approach can increase the availability of language resources from low-resourced and endangered languages to speech and language technology research and development.