Paper: Modeling Filled Pauses In Medical Dictations

ACL ID P99-1083
Title Modeling Filled Pauses In Medical Dictations
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1999

Filled pauses are characteristic of spontaneous speech and can present considerable problems for speech recognition by being often recognized as short words. An um can be recognized as thumb or arm if the recognizer's language model does not adequately represent FP's. Recognition of quasi-spontaneous speech (medical dictation) is subject to this problem as well. Results from medical dictations by 21 family practice physicians show that using an FP model trained on the corpus populated with FP's produces overall better results than a model trained on a corpus that excluded FP's or a corpus that had random FP's.