Hybrid architecture CNN-BLSTM for automatic speech recognition-Reference-Cited by-同舟云学术

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Hybrid architecture CNN-BLSTM for automatic speech recognition

Published:2024-05-03 Issue: Volume:15 Page:1-4
ISSN:
Container-title:2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT)
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Author:

Dar Muzaffar Ahmad¹,Pushparaj Jagalingam²

Affiliation:

1. Vellore Institute of Technology,School of Advanced Sciences,Department of Mathematics,Vellore,Tamil Nadu,India

2. Vellore Institute of Technology,School of Computer Science and Engineering,Department of Computational Intelligence,Vellore,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10574534/10574536/10574740.pdf?arnumber=10574740

Reference20 articles.

1. A Speech Recognition-based Solution for the Automatic Detection of Mild Cognitive Impairment from Spontaneous Speech

2. LSTM Based Speaker Recognition System with Optimized Features

3. Speech recognition method based on DNN-LSTM combined with Wiener filtering algorithm

4. Construction of English Speech Recognition Model by Fusing CNN and Random Deep Factorization TDNN

5. Continuous speech recognition based on DCNN-LSTM

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