Investigation of Automatic Speech Recognition Systems via the Multilingual Deep Neural Network Modeling Methods for a Very Low-Resource Language, Chaha

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ISSN Print: 2159-4465
ISSN Online: 2159-4481
www.scirp.org/journal/jsip
E-mail: jsip@scirp.org

"Investigation of Automatic Speech Recognition Systems via the Multilingual Deep Neural Network Modeling Methods for a Very Low-Resource Language, Chaha"
written by Tessfu Geteye Fantaye, Junqing Yu, Tulu Tilahun Hailu,
published by Journal of Signal and Information Processing, Vol.11 No.1, 2020

has been cited by the following article(s):

[1]	Recognition of English speech–using a deep learning algorithm
	Journal of Intelligent Systems, 2023

[2]	A Lightweight Downscaled Approach to Automatic Speech Recognition for Small Indigenous Languages
	14th ACM Web Science …, 2022

[3]	An Investigation of Multilingual TDNN-BLSTM Acoustic Modeling for Hindi Speech Recognition
	International Journal of Sensors …, 2022

[4]	Improving Luxembourgish Speech Recognition with Cross-Lingual Speech Representations
	2022

[5]	Construction of English Pronunciation Judgment and Detection Model Based on Deep Learning Neural Networks Data Stream Fusion
	International Journal of Pattern Recognition and …, 2022

[6]	The Relevance of the Source Language in Transfer Learning for ASR
	2021

[7]	Advanced Convolutional Neural Network-Based Hybrid Acoustic Models for Low-Resource Speech Recognition
	2020

[1]	Recognition of English speech – using a deep learning algorithm Journal of Intelligent Systems, 2023 DOI:10.1515/jisys-2022-0236

[2]	Construction of English Pronunciation Judgment and Detection Model Based on Deep Learning Neural Networks Data Stream Fusion International Journal of Pattern Recognition and Artificial Intelligence, 2022 DOI:10.1142/S0218001422520115

[3]	An Investigation of Multilingual TDNN-BLSTM Acoustic Modeling for Hindi Speech Recognition International Journal of Sensors, Wireless Communications and Control, 2022 DOI:10.2174/2210327911666210118143758

[4]	A Lightweight Downscaled Approach to Automatic Speech Recognition for Small Indigenous Languages 14th ACM Web Science Conference 2022, 2022 DOI:10.1145/3501247.3539017

[5]	A Lightweight Downscaled Approach to Automatic Speech Recognition for Small Indigenous Languages 14th ACM Web Science Conference 2022, 2022 DOI:10.1145/3501247.3539017

[6]	Advanced Convolutional Neural Network-Based Hybrid Acoustic Models for Low-Resource Speech Recognition Computers, 2020 DOI:10.3390/computers9020036

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