Synthesizing Speech Test Cases with Text-to-Speech? An Empirical Study on the False Alarms in Automated Speech Recognition Testing

Author:

Lau Julia Kaiwen1,Kong Kelvin Kai Wen1,Yong Julian Hao1,Tan Per Hoong1,Yang Zhou2,Yong Zi Qian1,Low Joshua Chern Wey1,Chong Chun Yong1,Lim Mei Kuan1,Lo David2

Affiliation:

1. Monash University Malaysia, Malaysia

2. Singapore Management University, Singapore

Funder

Ministry of Education, Singapore

Publisher

ACM

Reference58 articles.

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

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

5. Can Differential Testing Improve Automatic Speech Recognition Systems?

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1. Exploring the Viability of Sequence-to-Sequence Models for Automatic Speech Recognition in Peer-to-Peer Learning Environments;2024 8th International Conference on Computer, Software and Modeling (ICCSM);2024-07-04

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