CrossASR++: a modular differential testing framework for automatic speech recognition-Reference-Cited by-同舟云学术

CrossASR++: a modular differential testing framework for automatic speech recognition

Published:2021-08-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
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Author:

Asyrofi Muhammad Hilmi¹^ORCID,Yang Zhou¹^ORCID,Lo David¹^ORCID

Affiliation:

1. Singapore Management University, Singapore

Funder

Singapore Ministry of Education (MOE) Academic Research Fund (AcRF)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3468264.3473124

Reference22 articles.

1. Hear "No Evil", See "Kenansville"*: Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems

2. CrossASR: Efficient Differential Testing of Automatic Speech Recognition via Text-To-Speech

3. Alexei Baevski Henry Zhou Abdelrahman Mohamed and Michael Auli. 2020. wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations. arxiv:2006.11477. Alexei Baevski Henry Zhou Abdelrahman Mohamed and Michael Auli. 2020. wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations. arxiv:2006.11477.

4. Audio Adversarial Examples: Targeted Attacks on Speech-to-Text

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