The RWTH Aachen University Open Source Speech Recognition System

被引：0

作者：

Rybach, David ^{[1
]}

Gollan, Christian ^{[1
]}

Heigold, Georg ^{[1
]}

Hoffmeister, Bjoern ^{[1
]}

Loeoef, Jonas ^{[1
]}

Schlueter, Ralf ^{[1
]}

Ney, Hermann ^{[1
]}

机构：

[1] Rhein Westfal TH Aachen, Dept Comp Sci, Aachen, Germany

来源：

INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5 | 2009年

关键词：

speech recognition; LVCSR; software; SEARCH;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We announce the public availability of the RWTH Aachen University speech recognition toolkit. The toolkit includes state of the art speech recognition technology for acoustic model training and decoding. Speaker adaptation, speaker adaptive training. unsupervised training, a finite state automata library, and an efficient tree search decoder are notable components. Comprehensive documentation, example setups for training and recognition, and a tutorial are provided to support newcomers.

引用

页码：2063 / 2066

页数：4

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