Voice Anonymization for All-Bias Evaluation of the Voice Privacy Challenge Baseline Systems-Reference-Cited by-同舟云学术

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Voice Anonymization for All-Bias Evaluation of the Voice Privacy Challenge Baseline Systems

Published:2024-04-14 Issue: Volume: Page:4785-4789
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Leschanowsky Anna¹,Gaznepoglu Ünal Ege²,Peters Nils²

Affiliation:

1. Fraunhofer IIS,Erlangen,Germany,91058

2. International Audio Laboratories Erlangen,Erlangen,Germany,91058

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447137.pdf?arnumber=10447137

Reference27 articles.

1. The VoicePrivacy 2020 Challenge: Results and findings

2. Racial disparities in automated speech recognition

3. Empirical Analysis of Bias in Voice-based Personal Assistants

4. Effects of Talker Dialect, Gender & Race on Accuracy of Bing Speech and YouTube Automatic Captions

5. Understanding Racial Disparities in Automatic Speech Recognition: The Case of Habitual “be”

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. Speaker Anonymization: Disentangling Speaker Features from Pre-Trained Speech Embeddings for Voice Conversion;Applied Sciences;2024-04-30

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