A refined query-by-example approach to spoken-term-detection on ESL learners' speech

Jingyong Hou, Wenping Hu, Frank K. Soong, Lei Xie

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

A refined Query-by-Example (QbE) approach is proposed to improve Spoken-Term-Detection (STD) performance on L2 English learners' speech data. A Hidden Markov Model (HMM) is built for each keyword and a computationally efficient, iterative Viterbi decoding is adopted to detect spoken keywords in test. The approach is evaluated on an English as Second Language (ESL) speech database collected over L2 learners with different English proficiency levels. The experimental results show that the new approach achieves a performance better than the traditional DTW-based QbE. Also, it is comparable to that of an LVCSR-based STD but with significant lower complexities and computations. The refined QbE and LVCSR approach to STD are complementary to each other. By fusing the two systems together, we can further improve the MAP and MP@N performance by 6.1%-13.4% and 7.5%-14.4%, respectively, in testing sets of 3 different English proficiency levels over the best performance of either system.

源语言英语
主期刊名2018 11th International Symposium on Chinese Spoken Language Processing, ISCSLP 2018 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
111-115
页数5
ISBN(电子版)9781538656273
DOI
出版状态已出版 - 2 7月 2018
活动11th International Symposium on Chinese Spoken Language Processing, ISCSLP 2018 - Taipei, 中国台湾
期限: 26 11月 201829 11月 2018

出版系列

姓名2018 11th International Symposium on Chinese Spoken Language Processing, ISCSLP 2018 - Proceedings

会议

会议11th International Symposium on Chinese Spoken Language Processing, ISCSLP 2018
国家/地区中国台湾
Taipei
时期26/11/1829/11/18

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