@inproceedings{8b2d9599ac484ef89799a52374051029,
title = "Improving Speech Recognition by Enhancing Accent Discrimination",
abstract = "With globalization, English has become an increasingly important global lingua franca. However, the diversity of English accents-shaped by native languages, regions, and cultures-presents significant challenges for speech recognition systems. This paper proposes a method to enhance the recognition of accented English by improving accent discrimination. We introduce a technique that integrates accent classification into the speech recognition model, allowing for better identification of various accents. Our results demonstrate that this approach reduces error rates and provides a detailed analysis of accent features across the model's layers, thereby improving the recognition of diverse accents.",
keywords = "Accent, Data Visualization, Model Probing, Multi-Task Learning, Speech Recognition",
author = "Zheng, \{Hao Tian\} and Berlin Chen",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 ; Conference date: 17-10-2024 Through 19-10-2024",
year = "2024",
doi = "10.1109/O-COCOSDA64382.2024.10800479",
language = "English",
series = "2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Ming-Hsiang Su and Jui-Feng Yeh and Yuan-Fu Liao and Chi-Chun Lee and Yu Taso",
booktitle = "2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings",
}