Automatic Speech Recognition Errors Detection And Correction: A Review
Even though Automatic Speech Recognition (ASR) has matured to the point of commercial applications, high error rate in some speech recognition domains remain as one of the main impediment factors to the wide adoption of speech technology, and especially for continuous large vocabulary speech recogn...
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| Format: | Article |
| Language: | Arabic |
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Scientific and Technological Research Center for the Development of the Arabic Language
2016-05-01
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| Series: | Al-Lisaniyyat |
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| Online Access: | https://www.crstdla.dz/ojs/index.php/allj/article/view/372 |
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| _version_ | 1850061137204215808 |
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| author | Rahhal Errattahi Asmaa El Hannani Hassan Ouahmane |
| author_facet | Rahhal Errattahi Asmaa El Hannani Hassan Ouahmane |
| author_sort | Rahhal Errattahi |
| collection | DOAJ |
| description |
Even though Automatic Speech Recognition (ASR) has matured to the point of commercial applications, high error rate in some speech recognition domains remain as one of the main impediment factors to the wide adoption of speech technology, and especially for continuous large vocabulary speech recognition applications. The persistent presence of ASR errors have intensified the need to find alternative techniques to automatically detect and correct such errors. The correction of the transcription errors is very crucial not only to improve the speech recognition accuracy, but also to avoid the propagation of the errors to the subsequent language processing modules such as machine translation. In this paper, basic principles of ASR evaluation are first summarized, and then the state of the current ASR errors detection and correction research is reviewed. We focus on emerging techniques using word error rate metric.
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| format | Article |
| id | doaj-art-ac0cb7afaf834584b2ff9aad79807ef6 |
| institution | DOAJ |
| issn | 1112-4393 2588-2031 |
| language | Arabic |
| publishDate | 2016-05-01 |
| publisher | Scientific and Technological Research Center for the Development of the Arabic Language |
| record_format | Article |
| series | Al-Lisaniyyat |
| spelling | doaj-art-ac0cb7afaf834584b2ff9aad79807ef62025-08-20T02:50:20ZaraScientific and Technological Research Center for the Development of the Arabic LanguageAl-Lisaniyyat1112-43932588-20312016-05-0122210.61850/allj.v22i2.372Automatic Speech Recognition Errors Detection And Correction: A ReviewRahhal Errattahi0Asmaa El Hannani1Hassan Ouahmane2University of Chouaib Doukkali El JadidaUniversity of Chouaib Doukkali El JadidaUniversity of Chouaib Doukkali El Jadida Even though Automatic Speech Recognition (ASR) has matured to the point of commercial applications, high error rate in some speech recognition domains remain as one of the main impediment factors to the wide adoption of speech technology, and especially for continuous large vocabulary speech recognition applications. The persistent presence of ASR errors have intensified the need to find alternative techniques to automatically detect and correct such errors. The correction of the transcription errors is very crucial not only to improve the speech recognition accuracy, but also to avoid the propagation of the errors to the subsequent language processing modules such as machine translation. In this paper, basic principles of ASR evaluation are first summarized, and then the state of the current ASR errors detection and correction research is reviewed. We focus on emerging techniques using word error rate metric. https://www.crstdla.dz/ojs/index.php/allj/article/view/372Automatic Speech Recognition- ASR Error Detection- ASR Error Correction- ASR evaluation |
| spellingShingle | Rahhal Errattahi Asmaa El Hannani Hassan Ouahmane Automatic Speech Recognition Errors Detection And Correction: A Review Al-Lisaniyyat Automatic Speech Recognition- ASR Error Detection- ASR Error Correction- ASR evaluation |
| title | Automatic Speech Recognition Errors Detection And Correction: A Review |
| title_full | Automatic Speech Recognition Errors Detection And Correction: A Review |
| title_fullStr | Automatic Speech Recognition Errors Detection And Correction: A Review |
| title_full_unstemmed | Automatic Speech Recognition Errors Detection And Correction: A Review |
| title_short | Automatic Speech Recognition Errors Detection And Correction: A Review |
| title_sort | automatic speech recognition errors detection and correction a review |
| topic | Automatic Speech Recognition- ASR Error Detection- ASR Error Correction- ASR evaluation |
| url | https://www.crstdla.dz/ojs/index.php/allj/article/view/372 |
| work_keys_str_mv | AT rahhalerrattahi automaticspeechrecognitionerrorsdetectionandcorrectionareview AT asmaaelhannani automaticspeechrecognitionerrorsdetectionandcorrectionareview AT hassanouahmane automaticspeechrecognitionerrorsdetectionandcorrectionareview |