English Audio Language Retrieval Based on Adaptive Speech-Adjusting Algorithm
For the purpose of language retrieval for English listening, this paper designs and implements a cross-language information retrieval system for English listening. Different implementation methods of cross-language information retrieval, query, and translation are analyzed. The system adopts cross-l...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/2762180 |
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| _version_ | 1832561523551109120 |
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| author | Xiaoyan Feng Yanfang Zhou |
| author_facet | Xiaoyan Feng Yanfang Zhou |
| author_sort | Xiaoyan Feng |
| collection | DOAJ |
| description | For the purpose of language retrieval for English listening, this paper designs and implements a cross-language information retrieval system for English listening. Different implementation methods of cross-language information retrieval, query, and translation are analyzed. The system adopts cross-language information retrieval technology based on bilingual dictionaries. According to the cross-language retrieval system of the existing bilingual dictionaries and monolingual dictionaries, based on the design and implementation of the fuzzy search dictionary lookup mechanism, the existing dictionary lookup mechanism is constructed and analyzed. Aiming at the problem of translation ambiguity in information retrieval systems based on bilingual dictionaries, a disambiguities elimination algorithm based on cooccurrence technology is proposed. In continuous speech, the speed of different speakers in different contexts is very different. Deviation from normal speech speed often leads to recognition errors, which makes recognition performance decline. Considering that the influence of speech speed on the length of speech units increases or decreases synchronously, and there is a strong correlation between the lengths of adjacent speech units, an adaptive speech speed algorithm is proposed based on the framework of implicit Markov model based on the information of the length of speech units. Experiments on number string and large vocabulary continuous speech recognition show that the algorithm is effective. |
| format | Article |
| id | doaj-art-bb87416480af41ef8ac42b7b9b245a80 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-bb87416480af41ef8ac42b7b9b245a802025-02-03T01:24:49ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/27621802762180English Audio Language Retrieval Based on Adaptive Speech-Adjusting AlgorithmXiaoyan Feng0Yanfang Zhou1School of Foreign Languages, Ningxia Normal University, Guyuan, Ningxia 756000, ChinaDepartment of Preschool Education, Lishui University, Lishui, Zhejiang 323000, ChinaFor the purpose of language retrieval for English listening, this paper designs and implements a cross-language information retrieval system for English listening. Different implementation methods of cross-language information retrieval, query, and translation are analyzed. The system adopts cross-language information retrieval technology based on bilingual dictionaries. According to the cross-language retrieval system of the existing bilingual dictionaries and monolingual dictionaries, based on the design and implementation of the fuzzy search dictionary lookup mechanism, the existing dictionary lookup mechanism is constructed and analyzed. Aiming at the problem of translation ambiguity in information retrieval systems based on bilingual dictionaries, a disambiguities elimination algorithm based on cooccurrence technology is proposed. In continuous speech, the speed of different speakers in different contexts is very different. Deviation from normal speech speed often leads to recognition errors, which makes recognition performance decline. Considering that the influence of speech speed on the length of speech units increases or decreases synchronously, and there is a strong correlation between the lengths of adjacent speech units, an adaptive speech speed algorithm is proposed based on the framework of implicit Markov model based on the information of the length of speech units. Experiments on number string and large vocabulary continuous speech recognition show that the algorithm is effective.http://dx.doi.org/10.1155/2021/2762180 |
| spellingShingle | Xiaoyan Feng Yanfang Zhou English Audio Language Retrieval Based on Adaptive Speech-Adjusting Algorithm Complexity |
| title | English Audio Language Retrieval Based on Adaptive Speech-Adjusting Algorithm |
| title_full | English Audio Language Retrieval Based on Adaptive Speech-Adjusting Algorithm |
| title_fullStr | English Audio Language Retrieval Based on Adaptive Speech-Adjusting Algorithm |
| title_full_unstemmed | English Audio Language Retrieval Based on Adaptive Speech-Adjusting Algorithm |
| title_short | English Audio Language Retrieval Based on Adaptive Speech-Adjusting Algorithm |
| title_sort | english audio language retrieval based on adaptive speech adjusting algorithm |
| url | http://dx.doi.org/10.1155/2021/2762180 |
| work_keys_str_mv | AT xiaoyanfeng englishaudiolanguageretrievalbasedonadaptivespeechadjustingalgorithm AT yanfangzhou englishaudiolanguageretrievalbasedonadaptivespeechadjustingalgorithm |