Language Independent Gender Identification from Raw Waveform Using Multi-Scale Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Language Independent Gender Identification from Raw Waveform Using Multi-Scale Convolutional Neural Networks

Published:2020-05 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

D.N. Krishna,D. Amrutha,Reddy Sai Sumith,Acharya Anudeepa,Garapati Prabhu Aashish,B.J. Triveni

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9040208/9052899/09054738.pdf?arnumber=9054738

Cited by 7 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. Speech and speaker recognition using raw waveform modeling for adult and children’s speech: A comprehensive review;Engineering Applications of Artificial Intelligence;2024-05

2. Machine Learning Methods for Automatic Gender Detection;International Journal on Artificial Intelligence Tools;2022-05

3. A White-Box Sociolinguistic Model for Gender Detection;Applied Sciences;2022-03-04

4. Language Effect on Speaker Gender Classification Using Deep Learning;2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP);2022-02-12

5. Cepstral Coefficient-Based Gender Classification Using Audio Signals;Lecture Notes in Electrical Engineering;2022

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