Speech Recognition using Weighted Finite-State Transducers-Reference-Cited by-同舟云学术

Speech Recognition using Weighted Finite-State Transducers

Published:2022-04-07 Issue: Volume: Page:
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Container-title:2022 IEEE 7th International conference for Convergence in Technology (I2CT)
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Author:

Biswas Dipshikha¹,Nadipalli Suneel¹,Sneha B.¹,Supriya M.¹

Affiliation:

1. Amrita Vishwa Vidyapeetham,Amrita School of Engineering, Bengaluru,Department of Computer Science and Engineering,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9823959/9823960/09824703.pdf?arnumber=9824703

Reference15 articles.

1. Enhanced speech emotion detection using deep neural networks

2. Deep Learning Based Part-of-Speech Tagging for Malayalam Twitter Data (Special Issue: Deep Learning Techniques for Natural Language Processing)

3. A study on impact of language model in improving the accuracy of speech to text conversion system;shivakumar;Paper presented at the Proceedings of the 2017 IEEE International Conference on Communication and Signal Processing ICCSP 2017,2018

4. A Weight Based Approach for Emotion Recognition from Speech: An Analysis Using South Indian Languages

5. Multimodal approach to emotion recognition for enhancing human machine interaction - a survey. International Journal on Advanced Science;veni;Engineering and Information Technology,2017

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