Publisher
National Institute of Telecommunications
Subject
Electrical and Electronic Engineering,Computer Networks and Communications
Reference22 articles.
1. [1] V. Passricha and R. Aggarwal, "Convolutional neural networks for raw speech recognition", IntechOpen., vol. 32, pp. 137-144, 2013 (DOI:10.5772/intechopen.80026).
2. [2] E. Chuangsuwanich, "Multilingual techniques for low resource automatic speech recognition", Ph.D. thesis, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016 [Online]. Available: http://hdl.handle.net/1721.1/105571
3. [3] B. Pulugundla et al., "BUT system for low resource Indian language ASR", in Proc. 19th Ann. Conf. of the Int. Speech Commun. Assoc. Interspeech 2018, Hyderabad, India, 2018, pp. 3182-3186 (ISSN: 1990-9772).
4. [4] O. Mamyrbayev et al., "Voice identification using classification algorithms", in Intelligent System and Computing, Yang Yi, Ed. IntechOpen, 2020 (DOI: 10.5772/intechopen.88239).
5. [5] J. Li et al., "Jasper: An end-to-end convolutional neural acoustic model", in Proc. of the Ann. Conf. of the Int. Speech Commun. Assoc., Interspeech 2019, Graz, Austria, 2019, pp. 71-75, 2019 (DOI:10.21437/Interspeech.2019-1819).
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