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Towards Evaluating the Robustness of Automatic Speech Recognition
  Systems via Audio Style Transfer

Towards Evaluating the Robustness of Automatic Speech Recognition Systems via Audio Style Transfer

15 May 2024
Weifei Jin
Yuxin Cao
Junjie Su
Qi Shen
Kai Ye
Derui Wang
Jie Hao
Ziyao Liu
    AAML
ArXivPDFHTML

Papers citing "Towards Evaluating the Robustness of Automatic Speech Recognition Systems via Audio Style Transfer"

4 / 4 papers shown
Title
Boosting the Transferability of Audio Adversarial Examples with Acoustic Representation Optimization
Boosting the Transferability of Audio Adversarial Examples with Acoustic Representation Optimization
Weifei Jin
Junjie Su
Hejia Wang
Yulin Ye
Jie Hao
AAML
42
0
0
25 Mar 2025
Are Deep Speech Denoising Models Robust to Adversarial Noise?
Will Schwarzer
Philip S. Thomas
Andrea Fanelli
Xiaoyu Liu
54
0
0
14 Mar 2025
StyleTTS: A Style-Based Generative Model for Natural and Diverse
  Text-to-Speech Synthesis
StyleTTS: A Style-Based Generative Model for Natural and Diverse Text-to-Speech Synthesis
Yinghao Aaron Li
Cong Han
N. Mesgarani
33
38
0
30 May 2022
Fine-grained style control in Transformer-based Text-to-speech Synthesis
Fine-grained style control in Transformer-based Text-to-speech Synthesis
Li-Wei Chen
Alexander I. Rudnicky
80
29
0
12 Oct 2021
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