Automatic speech recognition systems: A survey of discriminative techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13645-x.pdf
Reference174 articles.
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2. Abushariah MA, Ainon RN, Zainuddin R, Elshafei M, Khalifa OO (2010) Natural speaker-independent Arabic speech recognition system based on Hidden Markov Models using Sphinx tools. In: International Conference on Computer and Communication Engineering (ICCCE'10). IEEE, pp 1–6
3. Al Mojaly M, Muhammad G, Alsulaiman M (2014) Detection and classification of voice pathology using feature selection. In: 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA). IEEE, pp 571–577
4. Ali A, Zhang Y, Cardinal P, Dahak N, Vogel S, Glass J (2014) A complete KALDI recipe for building Arabic speech recognition systems. In: 2014 IEEE spoken language technology workshop (SLT). IEEE, pp 525–529
5. Ali A, Chowdhury S, Hussein A, Hifny Y (2021) Arabic code-switching speech recognition using monolingual data. arXiv preprint arXiv:2107.01573
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