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

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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Bibliographic Details
Main Authors: ASYROFI, Muhammad Hilmi, YANG, Zhou, LO, David
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
Subjects:
automatic speech recognition
cross-referencing
test case generation
text-to-speech
Artificial Intelligence and Robotics
Databases and Information Systems
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

Internet

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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