Large List Recognition using Voice Search Framework

摘要：

Large list recognition is usually considered as an automatic speech recognition (ASR) problem. In this paper we propose a method to deal with this problem under the voice search framework. In this framework, the spoken utterance is first converted to text information by a speech recognizer and then the text information is used to search for the final list. We develop an efficient front-end recognizer and propose a back-end three pass post fuzzy retrieval method. The experiment results on the Chinese song name recognition task show that our system gains relative 4.94％, 26.12％, 32.48％ error rate reduction for top 1, top 5 and top 10 results respectively upon the conventional grammar constrained recognizer.

关键词： large list recognition voice search song name recognition

作者: Ta Li Shang Cai Jielin Pan Yonghong Yan

作者单位: ThinklT Speech Lab, Institute of Acoustics, Chinese Academy of Sciences,Beijing, P.R.China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Education Technology and Computer(第二届IEEE教育技术与计算机国际会议 ICETC 2010)

会议地点: 上海

会议语种:英文

页码: 228-232

在线出版日期: 2010-06-22（万方平台首次上网日期，不代表论文的发表时间）