1. Noisy BiLSTM-Based Models for Disfluency Detection;N Bach;Proc. Interspeech,2019
2. Edit detection and parsing for transcribed speech;E Charniak;Second Meeting of the North American Chapter,2001
3. Teaching BERT to wait: Balancing accuracy and latency for streaming disfluency detection;A Chen;Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies,2022
4. The fisher corpus: a resource for the next generations of speech-to-text;C Cieri;Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC'04),2004