CrossASR: Efficient differential testing of automatic speech recognition via text-to-speech

CrossASR: Efficient differential testing of automatic speech recognition via text-to-speech

Automatic speech recognition (ASR) systems are ubiquitous parts of modern life. It can be found in our smartphones, desktops, and smart home systems. To ensure its correctness in recognizing speeches, ASR needs to be tested. Testing ASR requires test cases in the form of audio files and their transc...

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Bibliographic Details
Main Authors: ASYROFI, Muhammad Hilmi, Ferdian, Thung, LO, David, JIANG, Lingxiao
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
Subjects:
Automatic Speech Recognition
Differential Testing
Failure Probability Predictor
Test Case Generation
Text-to-Speech
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/5536
https://ink.library.smu.edu.sg/context/sis_research/article/6539/viewcontent/icsme20crossASR.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/5536
https://ink.library.smu.edu.sg/context/sis_research/article/6539/viewcontent/icsme20crossASR.pdf

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