Arabic Speech Recognition based on Self Supervised Learning
Author:
Affiliation:
1. University of Mosul,College of Computer Science and Mathematics,Department of Computer Science,Mosul,IRAQ
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10468572/10468673/10469031.pdf?arnumber=10469031
Reference16 articles.
1. Deep Learning Methods for Arabic Autoencoder Speech Recognition System for Electro-Larynx Device;Ameen;Advances in Human-Computer Interaction
2. Arabic speech recognition using end‐to‐end deep learning
3. Investigation of Ensemble features of Self-Supervised Pretrained Models for Automatic Speech Recognition
4. A Study On The Integration Of Pre-Trained Ssl, Asr, Lm And Slu Models For Spoken Language Understanding;Peng;Arxiv:2211.05869v1 [Cs.CL],2022
5. Deploying self-supervised learning in the wild for hybrid automatic speech recognition;Karimi;arXiv:2205.08598v1 [cs.SD],2022
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