MULTILINGUAL PHONETIC DATASET FOR LOW RESOURCE SPEECH RECOGNITION

被引：3
|
作者：
Li, Xinjian [1 ]
Mortensen, David R. [1 ]
Metze, Florian [1 ]
Black, Alan W. [1 ]
机构：
[1] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
来源：
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021) | 2021年
关键词：
Multilingual Phonetic Dataset; Multilingual Speech Alignment; Low-Resource Speech recognition;
D O I：
10.1109/ICASSP39728.2021.9413720
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Phone Recognition is one of the most important tasks in the field of multilingual speech recognition, especially for low-resource languages whose orthographies are not available. However, most speech recognition datasets so far only focus on high-resource languages, there are very few datasets available for low-resource languages, especially datasets with detailed phone annotation. In this work, we present a large multilingual phonetic dataset, which is preprocessed and aligned from the UCLA phonetic dataset. The dataset contains around 100 low-resource languages and 7000 utterances in total. This dataset would provide an ideal training/evaluation set for universal phone recognition.
引用
收藏
页码：6958 / 6962
页数：5
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