Tamil Language Automatic Speech Recognition Based on Integrated Feature Extraction and Hybrid Deep Learning Model-Reference-Cited by-同舟云学术

Tamil Language Automatic Speech Recognition Based on Integrated Feature Extraction and Hybrid Deep Learning Model

Published:2023 Issue: Volume: Page:283-292
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Akanksha Akanksha

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-9719-8_23

Reference13 articles.

1. Dua M, Kadyan V, Banthia N, Bansal A, Agarwal T (2022) Spectral warping and data augmentation for low resource language ASR system under mismatched conditions. Applied Acoustics, 190

2. Pittala RB, Tejopriya BR, Pala E (2022) Study of speech recognition using CNN. 150–155. Inter Conf Art Intell Smart Energy (ICAIS) 2, 150–155

3. Wang D, Wang X, Lv S (2019) An overview of end-to-end automatic speech recognition. Symmetry 11(8):1018

4. Jain A, Singh VP, Rath SP (2019) A multi-accent acoustic model using mixture of experts for speech recognition. Interspeech, 779–783

5. Scharenborg O, Ciannella F, Palaskar S, Black A, Metze F, Ondel L, Hasegawa- Johnson M (2017) Building an ASR system for a low-research language through the adaptation of a high-resource language ASR system: preliminary results. Intern Conf Natural Lang Signal Speech Proc (ICNLSSP), 26–30

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Enhanced Real-Time Automatic Speech Recognition System for Tamil Language Using Wav2Vec2 Model;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2024-03-29