MANUAL AND SEMI-AUTOMATIC APPROACHES TO BUILDING A MULTILINGUAL PHONEME SET

被引：0

作者：

Egorova, Ekaterina ^{[1
]}

Vesely, Karel ^{[2
]}

Karafiat, Martin ^{[2
]}

Janda, Milos ^{[2
]}

Cernocky, Jan ^{[2
]}

机构：

[1] Brno Univ Technol, BUT Speech FIT, CS-61090 Brno, Czech Republic

[2] Brno Univ Technol, IT4I Ctr Excellence, CS-61090 Brno, Czech Republic

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2013年

关键词：

multilingual speech recognition; phoneme set mapping; phoneme confusion matrix; ADAPTATION;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

The paper addresses manual and semi-automatic approaches to building a multilingual phoneme set for automatic speech recognition. The first approach involves mapping and reduction of the phoneme set based on IPA and expert knowledge, the later one involves phoneme confusion matrix generated by a neural network. The comparison is done for 8 languages selected from GlobalPhone on three scenarios: 1) multilingual system with abundant data for all the languages, 2) multilingual systems excluding target language 3) multilingual systems with small amount of data for target languages. For 3), the multilingual system brought improvement for languages close enough to the others in the set.

引用

页码：7324 / 7328

页数：5

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