SPOKEN LANGUAGE UNDERSTANDING WITHOUT SPEECH RECOGNITION

被引：0

作者：

Chen, Yuan-Ping ^{[1
,2
]}

Price, Ryan ^{[2
]}

Bangalore, Srinivas ^{[2
]}

机构：

[1] Univ Calif Santa Cruz, Dept Comp Sci, Santa Cruz, CA 95064 USA

[2] Interactions LLC, Murray Hill, NJ 10016 USA

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2018年

关键词：

Spoken Language Understanding; end-to-end; intent determination; speech recognition; DEEP CONVEX NETWORKS;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

While conventional approaches to spoken language understanding involve cascading a speech recognizer with a language understanding system, in this paper, we describe a novel approach for deriving semantics directly from the speech signal without the need for an explicit speech recognition step. We evaluate this approach in the context of a customer care dialog system and demonstrate its effectiveness in comparison to the conventional approach.

引用

页码：6189 / 6193

页数：5

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