A Frequency Bin Analysis of Distinctive Ranges Between Human and Deepfake Generated Voices-Reference-Cited by-同舟云学术

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A Frequency Bin Analysis of Distinctive Ranges Between Human and Deepfake Generated Voices

Published:2024-06-30 Issue: Volume: Page:1-7
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
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Author:

Maltby Harry¹,Wall Julie²,Glackin Cornelius³,Moniri Mansour¹,Cannings Nigel³,Salami Iwa⁴

Affiliation:

1. University of East London,School of Architecture, Computing and Engineering,London,UK

2. University of West London,School of Computing and Engineering,London,UK

3. Intelligent Voice Ltd,London,UK

4. University of East London,Royal Docks School of Business and Law,London,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650554.pdf?arnumber=10650554

Reference21 articles.

1. Deepfake: definitions, performance metrics and standards, datasets, and a meta-review

2. Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech;Kim

3. Weber-Fechner Law and the Optimality of the Logarithmic Scale

4. Recurrent Convolutional Structures for Audio Spoof and Video Deepfake Detection

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