Extracting sub-glottal and Supra-glottal features from MFCC using convolutional neural networks for speaker identification in degraded audio signals

Author:

Chowdhury Anurag,Ross Arun

Publisher

IEEE

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. Transound: Hyper-head attention transformer for birds sound recognition;Ecological Informatics;2023-07

2. Development of Multilingual Speech Recognition and Translation Technologies for Communication and Interaction;Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022);2023

3. Log-MelSpectrum and Excitation features based Speaker Identification using Deep Learning;2022 International Conference on Industry 4.0 Technology (I4Tech);2022-09-23

4. Underwater Target Detection and Localization with Feature Map and CNN-Based Classification;2022 4th International Conference on Advances in Computer Technology, Information Science and Communications (CTISC);2022-04-22

5. Dilated Convolution and MelSpectrum for Speaker Identification using Simple Deep Network;2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS);2022-03-25

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