The AT&T Speech API: Study on Practical Challenges for Customized Speech to Text Service

被引：0
|
作者：
Gouvea, E. [1 ]
Moreno-Daniel, A. [1 ]
Reddy, A. [1 ]
Chengalvarayan, R. [1 ]
Thomson, D. [1 ]
Ljolje, A. [1 ]
机构：
[1] AT&T Labs Res, Bedminster, NJ 07921 USA
来源：
14TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2013), VOLS 1-5 | 2013年
关键词：
speech recognition; api; customization;
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：
AT&T has recently opened its extensive portfolio of state-of-the-art Speech Technology to external end-developers as a platform called "The AT&T Speech API". This study discusses a series of practical challenges found in an industrial deployment of speech to text services, particularly, we examine different strategies for customizing the speech to text process by considering intrinsic factors, inherent to the audio signal, or extrinsic factors, available from other sources, in an industry-grade implementation.
引用
收藏
页码：2070 / 2072
页数：3
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