A Real-Time Speaker Diarization System Based On Convolutional Neural Networks Architectures-Reference-Cited by-同舟云学术

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A Real-Time Speaker Diarization System Based On Convolutional Neural Networks Architectures

Published:2023-06-08 Issue: Volume: Page:
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Container-title:2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
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Author:

Al-Hadithy Thaer M.¹,Frikha Mondher²

Affiliation:

1. University Sfax,ATISP research unit, E' cole Nationale d‘E’ lectronique et de Télécommunications de Sfax (ENET'Com),Tunisia

2. University Sfax,Directeur de l'unite de recherche: Advanced Technologies for Image and Signal Processing (ATISP) Ecole, Nationale d'Electronique et de Télécommunications de Sfax (ENET'Com),Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10156655/10155769/10156741.pdf?arnumber=10156741

Reference31 articles.

1. Vocal tract length perturbation (VTLP) improves speech recognition;jaitly;2015 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP),2015

2. Matrix capsules with EM routing;hinton;ArXiv Preprint,2011

3. Deep neural networks for small footprint text-dependent speaker verification

4. Deep speaker embed-dings for speaker recognition: a review;nassif;Speech Communication,2019

Cited by 1 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. Forensic Perspective on Voice Biometrics and AI : A Review;International Journal of Scientific Research in Science and Technology;2024-09-04

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