CrossASR++: A modular differential testing framework for automatic speech recognition
Developers need to perform adequate testing to ensure the quality of Automatic Speech Recognition (ASR) systems. However, manually collecting required test cases is tedious and time-consuming. Our recent work proposes CrossASR, a differential testing method for ASR systems. This method first utilize...
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Main Authors: | ASYROFI, Muhammad Hilmi, YANG, Zhou, LO, David |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2021
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Online Access: | https://ink.library.smu.edu.sg/sis_research/6864 https://ink.library.smu.edu.sg/context/sis_research/article/7867/viewcontent/CrossASR_a_modular_differential_testing_framework_for_automatic_speech_recognition.pdf |
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Institution: | Singapore Management University |
Language: | English |
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