Title :
A New Keyword Spotting Approach for Spontaneous Mandarin Speech
Author :
Zhang, Pengyuan ; Han, Jiang ; Shao, Jian ; Yan, Yonghong
Author_Institution :
Lab of Zhongke Xinli Speech, Chinese Acad. of Sci., Beijing
Abstract :
For many practical applications of keyword spotting, input signal is a spontaneous conversation. Generally speaking, keyword spotting system will degrade significantly because of mismatch between acoustic model and speech. To solve this problem, this paper presents a two-pass based keyword spotting strategy. Different from one-pass based system, decoding process is done in the whole acoustic space, not especially for keywords space. 1-best phoneme sequence is achieved during the decoding process firstly. Then keywords are extracted by a keyword list and confusion matrix in the second pass. At last, the phoneme lattice based confidence measure is adopted to reject false alarms. Experiments show that two-pass based strategy performances a significant improvement on the spontaneous telephone conversations
Keywords :
decoding; natural languages; speech coding; 1-best phoneme sequence; acoustic space; decoding process; keyword spotting approach; lattice based confidence measure; one-pass based system; spontaneous Mandarin speech; Acoustic applications; Acoustic measurements; Decoding; Degradation; Feature extraction; Hidden Markov models; Laboratories; Lattices; Speech; Telephony;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345535