4 citations · 4 across the 2 of their papers we have counts for
5 papers
Prioritizing Speech Test Cases
Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi +4
With the wide adoption of automated speech recognition (ASR) systems, it is increasingly important to test and improve ASR systems. However, collecting and executing speech test ca…
Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks
Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi +1
Deep neural networks (DNN) have been widely applied in modern life, including critical domains like autonomous driving, making it essential to ensure the reliability and robustness…
CrossASR++: A Modular Differential Testing Framework for Automatic Speech Recognition
Muhammad Hilmi Asyrofi, Zhou Yang, David Lo
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 tim…
BiasRV: Uncovering Biased Sentiment Predictions at Runtime
Zhou Yang, Muhammad Hilmi Asyrofi, David Lo
Sentiment analysis (SA) systems, though widely applied in many domains, have been demonstrated to produce biased results. Some research works have been done in automatically genera…
BiasFinder: Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems
Muhammad Hilmi Asyrofi, Zhou Yang, Imam Nur Bani Yusuf +3
Artificial Intelligence (AI) software systems, such as Sentiment Analysis (SA) systems, typically learn from large amounts of data that may reflect human biases. Consequently, the…