Keyword spotting system for broadcast news
A two-step keyword spotting strategy was presented.This strategy allowed to change keyword list conven-iently.Different from the previous systems,search space was generated based on all Chinese syllables,not specifically for keywords.Phoneme recognition was performed without any lexical constraints....
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2007-01-01
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| Series: | Tongxin xuebao |
| Online Access: | http://www.joconline.com.cn/zh/article/74658803/ |
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| _version_ | 1841537492392607744 |
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| author | ZHANG Peng-yuan SHAO Jian ZHAO Qing-wei YAN Yong-hong |
| author_facet | ZHANG Peng-yuan SHAO Jian ZHAO Qing-wei YAN Yong-hong |
| author_sort | ZHANG Peng-yuan |
| collection | DOAJ |
| description | A two-step keyword spotting strategy was presented.This strategy allowed to change keyword list conven-iently.Different from the previous systems,search space was generated based on all Chinese syllables,not specifically for keywords.Phoneme recognition was performed without any lexical constraints.With 1-best phoneme sequence and keyword list,which generated keyword hypotheses.At last,two confidence measures were introduced adopted in the sys-tem: one based on acoustic model and the other based on phoneme lattice.For a decoded speech frame aligned to an HMM state,the acoustic confidence was calculated.The lattice confidence made use of phoneme lattices generated by a phoneme recognizer.These two confidence measures were combined using a weighting factor to obtain a hybrid confi-dence as they had different dynamic scales.Experiments show that the proposed algorithms significantly improve the system performance on the broadcast news task. |
| format | Article |
| id | doaj-art-ce5c69bfe0ce4694a513274ab101615c |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2007-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-ce5c69bfe0ce4694a513274ab101615c2025-01-14T08:35:22ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2007-01-0113113574658803Keyword spotting system for broadcast newsZHANG Peng-yuanSHAO JianZHAO Qing-weiYAN Yong-hongA two-step keyword spotting strategy was presented.This strategy allowed to change keyword list conven-iently.Different from the previous systems,search space was generated based on all Chinese syllables,not specifically for keywords.Phoneme recognition was performed without any lexical constraints.With 1-best phoneme sequence and keyword list,which generated keyword hypotheses.At last,two confidence measures were introduced adopted in the sys-tem: one based on acoustic model and the other based on phoneme lattice.For a decoded speech frame aligned to an HMM state,the acoustic confidence was calculated.The lattice confidence made use of phoneme lattices generated by a phoneme recognizer.These two confidence measures were combined using a weighting factor to obtain a hybrid confi-dence as they had different dynamic scales.Experiments show that the proposed algorithms significantly improve the system performance on the broadcast news task.http://www.joconline.com.cn/zh/article/74658803/ |
| spellingShingle | ZHANG Peng-yuan SHAO Jian ZHAO Qing-wei YAN Yong-hong Keyword spotting system for broadcast news Tongxin xuebao |
| title | Keyword spotting system for broadcast news |
| title_full | Keyword spotting system for broadcast news |
| title_fullStr | Keyword spotting system for broadcast news |
| title_full_unstemmed | Keyword spotting system for broadcast news |
| title_short | Keyword spotting system for broadcast news |
| title_sort | keyword spotting system for broadcast news |
| url | http://www.joconline.com.cn/zh/article/74658803/ |
| work_keys_str_mv | AT zhangpengyuan keywordspottingsystemforbroadcastnews AT shaojian keywordspottingsystemforbroadcastnews AT zhaoqingwei keywordspottingsystemforbroadcastnews AT yanyonghong keywordspottingsystemforbroadcastnews |