arXiv 2008.057602020-08-13cs.CLcs.LG

MASRI-HEADSET：一个用于语音识别的马耳他语语料库

MASRI-HEADSET: A Maltese Corpus for Speech Recognition

University of Malta（马耳他大学）

Carlos Mena, Albert Gatt, Andrea DeMarco, Claudia Borg, Lonneke van der Plas, Amanda Muscat, Ian Padovani

备注：: 8 pages, 2 figures, 4 tables, 1 appendix. Appears in Proceedings of the 12th edition of the Language Resources and Evaluation Conference (LREC'20)

摘要：

马耳他语是马耳他的国语，约有50万人使用。马耳他语的语音处理仍处于发展的早期阶段。在本文中，我们提出了第一个口语马耳他语语料库设计的自动语音识别（ASR）。MASRI-HEADSET语料库由马耳他大学的MASRI项目开发。它包括8小时的语音与文本配对，在实验室环境中使用简短的文本片段记录。演讲者是从马耳他群岛各地的不同地理位置招募的，按性别分布大致均匀。本文还介绍了马耳他ASR使用Sphinx和Kaldi的基线实验中取得的一些初步结果。MASRI-HEADSET语料库可公开用于研究/学术目的。

英文摘要：

Maltese, the national language of Malta, is spoken by approximately 500,000 people. Speech processing for Maltese is still in its early stages of development. In this paper, we present the first spoken Maltese corpus designed purposely for Automatic Speech Recognition (ASR). The MASRI-HEADSET corpus was developed by the MASRI project at the University of Malta. It consists of 8 hours of speech paired with text, recorded by using short text snippets in a laboratory environment. The speakers were recruited from different geographical locations all over the Maltese islands, and were roughly evenly distributed by gender. This paper also presents some initial results achieved in baseline experiments for Maltese ASR using Sphinx and Kaldi. The MASRI-HEADSET Corpus is publicly available for research/academic purposes.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。