Multimodal Speaker Recognition: Combining FFT, CNN, Speech-to-Text, BERT-Based Punctuation Restoration and Sentence Correction-Reference-Cited by-同舟云学术

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Multimodal Speaker Recognition: Combining FFT, CNN, Speech-to-Text, BERT-Based Punctuation Restoration and Sentence Correction

Published:2023-12-14 Issue: Volume:2020 Page:1-7
ISSN:
Container-title:2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
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Author:

Sai Kasula Pavan¹,Ajay Konda¹,Ramesh Mande¹

Affiliation:

1. Velagapudi Ramakrishna Siddhartha Engineering College,Department of Information Technology,Vijayawada,Andhra Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10464384/10465267/10465391.pdf?arnumber=10465391

Reference16 articles.

1. Speech to text conversion and summarization for effective understanding and documentation;Vinnarasu;International Journal of Electrical and Computer Engineering (IJECE),2023

2. Voice-Based Human Identification using Machine Learning;Karthikeyan;IEEE Transactions on Systems, Man, and Cybernetics: Systems,2021

3. Speaker Recognition Using Machine Learning Techniques;Ali;IEEE Access,2021

4. Studying the Effect of Syntactic Simplification on Text Summarization

5. Speech Recognition System Based on Mel Frequency Cepstral Coefficient and Four Features;A;International Journal of Electrical and Computer Engineering (IJECE),2021

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