Can differential testing improve automatic speech recognition systems?

• Main Authors: ASYROFI, Muhammad Hilmi, YANG, Zhou, SHI, Jieke, QUAN, Chu Wei, LO, David
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/6893; https://ink.library.smu.edu.sg/context/sis_research/article/7896/viewcontent/Can_Differential_Testing_Improve.pdf
• Institution: Singapore Management University

Due to the widespread adoption of Automatic Speech Recognition (ASR) systems in many critical domains, ensuring the quality of recognized transcriptions is of great importance. A recent work, CrossASR++, can automatically uncover many failures in ASR systems by taking advantage of the differential t...