Automatic Speech Recognition trained with Convolutional Neural Network and predicted with Recurrent Neural Network

Author:

Soundarya M1,Karthikeyan P R1,Thangarasu Gunasekar2

Affiliation:

1. Saveetha School of Engineering SIMATS,Department of Electronics and Communication Engineering,Chennai,India

2. MAHSA University,Department of Professional Industry Driven Education,Selangor,Malaysia

Publisher

IEEE

Reference21 articles.

1. Long short-term memory recurrent neural network architectures for large scale acoustic modeling

2. Exploring architectures, data and units for streaming end-to-end speech recognition with RNN-transducer

3. USC: An Open-Source Uzbek Speech Corpus and Initial Speech Recognition Experiments

4. Streaming end-to-EndSpeech Recognition for mobile devices;he;Proceedings IEEE International Conference on Acoustics Speech and Signal Processing,2019

5. Developing a Speech Recognition System for Recognizing Tonal Speech Signals Using a Convolutional Neural Network;dua;Appl Sci 2022,6223

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 Approach to Recognize Speech Using Convolutional Neural Network for the Multilingual Language;2023 Global Conference on Information Technologies and Communications (GCITC);2023-12-01

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