Score Normalization for Keyword Search

被引:0
作者
Sari, Leda [1 ]
Saraclar, Murat [1 ]
机构
[1] Bogazici Univ, Elekt & Elekt Muhendisligi Bolumu, Istanbul, Turkey
来源
2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU) | 2016年
关键词
keywords search; indexing; score normalization;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this work, keyword search (KWS) is based on a symbolic index that uses posteriorgram representation of the speech data. For each query, sum-to-one normalization or keyword specific thresholding is applied to the search results. The effect of these methods on the proposed KWS system is investigated. Results are combined with a KWS system that is based on an index generated from automatic speech recognition (ASR) lattices and the effect of score normalization on the performance of the combined system is observed. Maximum term weighted value (MTWV) is used as the performance measure. It is shown that the MTWV is increased in the combined system especially for the out-of-vocabulary (OOV) keywords that are not covered by the ASR lexicon.
引用
收藏
页码:761 / 764
页数:4
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