Lost in Transcription: Identifying and Quantifying the Accuracy Biases of Automatic Speech Recognition Systems Against Disfluent Speech

Lost in Transcription: Identifying and Quantifying the Accuracy Biases of Automatic Speech Recognition Systems Against Disfluent Speech Dena Mujtaba author Nihar Mahapatra author Megan Arney author J Yaruss author Hope Gerlach-Houck author Caryn Herring author Jia Bin author 2024-06 text Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) Kevin Duh editor Helena Gomez editor Steven Bethard editor Association for Computational Linguistics Mexico City, Mexico conference publication mujtaba-etal-2024-lost 10.18653/v1/2024.naacl-long.269 https://aclanthology.org/2024.naacl-long.269/ 2024-06 4795 4809