Real-time Large Vocabulary Spontaneous Speech Recognition for Spoken Dialog Systems

摘要：

This paper describes the method for modifying the baseline speech recognition system to be suitable for a use in spoken dialog system with mixed initiative and natural users input. We present three approaches for extending the recognition vocabulary to ensure the spoken dialog system is able to recognize all entities in the given domain. The colloquial text normalization method is proposed. The experiments performed on spontaneous speech corpus suggested that the proposed method is very important for languages where the formal written language and a common colloquial speech are very different The overall word error rate was reduced by 16.7％.

关键词： speech recognition language modeling spoken dialog system

作者: Jan Svec Lubos Smidl

作者单位: Center of Applied Cybernetics Department of Cybernetics University of West Bohemia Pilsen, Czech Republic

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 2458-2463

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）