A Robust Context-Dependent Speech-to-Speech Phraselator Toolkit for Alexa

被引：0

作者：

Rayner, Manny ^{[1
]}

Tsourakis, Nikos ^{[1
]}

Stanek, Jan ^{[2
]}

机构：

[1] Univ Geneva, FTI TIM, Geneva, Switzerland

[2] Univ South Australia, Adelaide, SA, Australia

来源：

19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), VOLS 1-6: SPEECH RESEARCH FOR EMERGING MARKETS IN MULTILINGUAL SOCIETIES | 2018年

关键词：

Alexa; speech translation; medical applications; robustness; context-dependence;

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 present an open source toolkit for creating robust speech to -speech phraselators, suitable for medical and other safety critical domains, that can be hosted on the Amazon Alexa platform. Supported functionality includes context-dependent translation of incomplete utterances. We describe a preliminary evaluation on an English medical examination grammar.

引用

页码：175 / 176

页数：2

共 5 条

[1] Ahmed F., 2017, P INT 2017 STOCKH SW
[2] Bouillon P., 2017, P EAMT 2017 PRAG CZE
[3] CHRISTMAS 2014: FOUND IN TRANSLATION Use of Google Translate in medical communication: evaluation of accuracy
Patil, Sumant
Davies, Patrick
[J]. BMJ-BRITISH MEDICAL JOURNAL, 2014, 349
[4] Rayner Manny, 2017, Statistical Language and Speech Processing. 5th International Conference, SLSP. Proceedings: LNAI 10583, P143, DOI 10.1007/978-3-319-68456-7_12
[5] Rayner M., 2018, BUILDING ALEXA APPS

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