Automatic Speech Recognition and Query By Example for Creole Languages Documentation
Automatic Speech Recognition and Query By Example for Creole Languages Documentation
复制标题
克里奥尔语言文档的自动语音识别和查询示例
作者：
Cécile Macaire;D. Schwab;B. Lecouteux;Emmanuel Schang
我们研究了两种克里奥尔语言的自监督模型的开发，资源很少：Gwadloupéyen和Morisien。这两种语言的自动语言处理工具几乎不存在。我们建议使用大约一个小时的注释数据来设计每种语言的自动语音识别系统。我们评估需要多少数据来获得一个查询的例子系统，是可用的语言学家。此外，我们的实验表明，多语言自监督模型不一定是最有效的克里奥尔语。
We investigate the exploitation of self-supervised models for two Creole languages with few resources: Gwadloupéyen and Morisien. Automatic language processing tools are almost non-existent for these two languages. We propose to use about one hour of annotated data to design an automatic speech recognition system for each language. We evaluate how much data is needed to obtain a query-by-example system that is usable by linguists. Moreover, our experiments show that multilingual self-supervised models are not necessarily the most efficient for Creole languages.