Efficient keyword spotting system for information retrieval
A new two-stage keyword spotting system was proposed based on syllable graph for audio information retrieval task,which could efficiently spot the interesting words in mass speech data,thus serve for the national security.It comprised two stages – preprocessing and searching.In the preprocessing sta...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2006-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74665652/ |
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| _version_ | 1841537322389078016 |
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| author | LUO Jun OU Zhi-jian |
| author_facet | LUO Jun OU Zhi-jian |
| author_sort | LUO Jun |
| collection | DOAJ |
| description | A new two-stage keyword spotting system was proposed based on syllable graph for audio information retrieval task,which could efficiently spot the interesting words in mass speech data,thus serve for the national security.It comprised two stages – preprocessing and searching.In the preprocessing stage,the audio data was recognized into syllable graph which included high accuracy syllable candidates,and unsupervised MLLR（maximum likelihood linear regression） adaptation was carried out iteratively to further improve the accuracy of the syllable graph.In the searching stage,to answer the frequent queries from users,searching for matched keywords was only scanned in the graph for likely syllable strings.A forward-backward algorithm based on syllable N-grammar was used to calculate confidence measures for further filtering of the searching result.Experimental results show the system achieved good performances in both recall rate and accuracy rate,and in the searching stage only 0.01 times of real time is needed,which can meet the demand for fast retrieval. |
| format | Article |
| id | doaj-art-4384d1266e0b452d84e2a98ff9ee14b7 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2006-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-4384d1266e0b452d84e2a98ff9ee14b72025-01-14T08:39:36ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2006-01-0111311874665652Efficient keyword spotting system for information retrievalLUO JunOU Zhi-jianA new two-stage keyword spotting system was proposed based on syllable graph for audio information retrieval task,which could efficiently spot the interesting words in mass speech data,thus serve for the national security.It comprised two stages – preprocessing and searching.In the preprocessing stage,the audio data was recognized into syllable graph which included high accuracy syllable candidates,and unsupervised MLLR（maximum likelihood linear regression） adaptation was carried out iteratively to further improve the accuracy of the syllable graph.In the searching stage,to answer the frequent queries from users,searching for matched keywords was only scanned in the graph for likely syllable strings.A forward-backward algorithm based on syllable N-grammar was used to calculate confidence measures for further filtering of the searching result.Experimental results show the system achieved good performances in both recall rate and accuracy rate,and in the searching stage only 0.01 times of real time is needed,which can meet the demand for fast retrieval.http://www.joconline.com.cn/zh/article/74665652/information retrievalkeyword spottingsyllable graphconfidence measure |
| spellingShingle | LUO Jun OU Zhi-jian Efficient keyword spotting system for information retrieval Tongxin xuebao information retrieval keyword spotting syllable graph confidence measure |
| title | Efficient keyword spotting system for information retrieval |
| title_full | Efficient keyword spotting system for information retrieval |
| title_fullStr | Efficient keyword spotting system for information retrieval |
| title_full_unstemmed | Efficient keyword spotting system for information retrieval |
| title_short | Efficient keyword spotting system for information retrieval |
| title_sort | efficient keyword spotting system for information retrieval |
| topic | information retrieval keyword spotting syllable graph confidence measure |
| url | http://www.joconline.com.cn/zh/article/74665652/ |
| work_keys_str_mv | AT luojun efficientkeywordspottingsystemforinformationretrieval AT ouzhijian efficientkeywordspottingsystemforinformationretrieval |