AL-Lisaniyyat
Volume 22, Numéro 2, Pages 40-43
2016-05-30
Automatic Speech Recognition Errors Detection And Correction: A Review
Authors : Errattahi Rahhal . El Hannani Asmaa . Ouahmane Hassan .
Abstract
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.
Keywords
Automatic Speech Recognition- ASR Error Detection- ASR Error Correction- ASR evaluation
Les articles similaires
Mezzoudj Freha
.
Langlois David
.
Jouvet Denis
.
Benyettou Abdelkader
.
pages 28-33.
Bakri Adil
.
Amrouche Abderrahmane
.
Abbas Mourad
.
Bouchakour Lallouani
.
pages 57-60.
Mohammed Dib
.
pages 63-85.
Orosanu Luiza
.
Jouvet Denis
.
pages 34-39.
