Research of Speech Recognition Algorithm Based on Time Delay Neural Network and Its Application in Rail Transit
Speech recognition technology is a key component of the intelligent voice interaction system. In recent years, this technology has developed rapidly and is widely used in automotive electronics, consumer electronics, medical and other fields. This paper analyzes the development status of speech tech...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Control and Information Technology
2022-08-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2022.04.200 |
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| _version_ | 1849224942613168128 |
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| author | LIU Yue LIN Jun LUO Xiao CHU Wei LIU Ren |
| author_facet | LIU Yue LIN Jun LUO Xiao CHU Wei LIU Ren |
| author_sort | LIU Yue |
| collection | DOAJ |
| description | Speech recognition technology is a key component of the intelligent voice interaction system. In recent years, this technology has developed rapidly and is widely used in automotive electronics, consumer electronics, medical and other fields. This paper analyzes the development status of speech technology in the field of automotive field, introduces the development process of this technology in detail, focuses on the demand and application of speech recognition technology in the field of rail transit.Aiming at the problem that the display interactive content of different models of rail transit is changeable and needs to be customized and developed, the research on speech recognition technology based on time-delay neural network is carried out and a speech recognition system for train display based on intelligent computing platform is developed. The system can flexibly build models according to the interaction requirements of different display platforms and the processing performance of intelligent hardware platforms, and optimize the interaction keywords on the basis of the general model to improve the recognition rate. Finally, the test is completed in the voice interaction system of autonomous-rail rapid tram display in different scenes and noisy conditions and the word recognition rate reaches more than 85%. It also lays the foundation for the application of intelligent voice technology in other rail transit vehicles. |
| format | Article |
| id | doaj-art-42791180968f4e9c86c9ce9fab229129 |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2022-08-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-42791180968f4e9c86c9ce9fab2291292025-08-25T06:47:59ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272022-08-01111629037179Research of Speech Recognition Algorithm Based on Time Delay Neural Network and Its Application in Rail TransitLIU YueLIN JunLUO XiaoCHU WeiLIU RenSpeech recognition technology is a key component of the intelligent voice interaction system. In recent years, this technology has developed rapidly and is widely used in automotive electronics, consumer electronics, medical and other fields. This paper analyzes the development status of speech technology in the field of automotive field, introduces the development process of this technology in detail, focuses on the demand and application of speech recognition technology in the field of rail transit.Aiming at the problem that the display interactive content of different models of rail transit is changeable and needs to be customized and developed, the research on speech recognition technology based on time-delay neural network is carried out and a speech recognition system for train display based on intelligent computing platform is developed. The system can flexibly build models according to the interaction requirements of different display platforms and the processing performance of intelligent hardware platforms, and optimize the interaction keywords on the basis of the general model to improve the recognition rate. Finally, the test is completed in the voice interaction system of autonomous-rail rapid tram display in different scenes and noisy conditions and the word recognition rate reaches more than 85%. It also lays the foundation for the application of intelligent voice technology in other rail transit vehicles.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2022.04.200voice interactionspeech recognitiondeep learningtime-delay neural networkrail transit |
| spellingShingle | LIU Yue LIN Jun LUO Xiao CHU Wei LIU Ren Research of Speech Recognition Algorithm Based on Time Delay Neural Network and Its Application in Rail Transit Kongzhi Yu Xinxi Jishu voice interaction speech recognition deep learning time-delay neural network rail transit |
| title | Research of Speech Recognition Algorithm Based on Time Delay Neural Network and Its Application in Rail Transit |
| title_full | Research of Speech Recognition Algorithm Based on Time Delay Neural Network and Its Application in Rail Transit |
| title_fullStr | Research of Speech Recognition Algorithm Based on Time Delay Neural Network and Its Application in Rail Transit |
| title_full_unstemmed | Research of Speech Recognition Algorithm Based on Time Delay Neural Network and Its Application in Rail Transit |
| title_short | Research of Speech Recognition Algorithm Based on Time Delay Neural Network and Its Application in Rail Transit |
| title_sort | research of speech recognition algorithm based on time delay neural network and its application in rail transit |
| topic | voice interaction speech recognition deep learning time-delay neural network rail transit |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2022.04.200 |
| work_keys_str_mv | AT liuyue researchofspeechrecognitionalgorithmbasedontimedelayneuralnetworkanditsapplicationinrailtransit AT linjun researchofspeechrecognitionalgorithmbasedontimedelayneuralnetworkanditsapplicationinrailtransit AT luoxiao researchofspeechrecognitionalgorithmbasedontimedelayneuralnetworkanditsapplicationinrailtransit AT chuwei researchofspeechrecognitionalgorithmbasedontimedelayneuralnetworkanditsapplicationinrailtransit AT liuren researchofspeechrecognitionalgorithmbasedontimedelayneuralnetworkanditsapplicationinrailtransit |