Paper: Generating Training Data For Medical Dictations

ACL ID N01-1017
Title Generating Training Data For Medical Dictations
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2001
Authors

In automatic speech recognition (ASR) enabled applications for medical dictations, corpora of literal transcriptions of speech are critical for training both speaker independent and speaker adapted acoustic models. Obtaining these transcriptions is both costly and time consuming. Non-literal transcriptions, on the other hand, are easy to obtain because they are generated in the normal course of a medical transcription operation. This paper presents a method of automatically generating texts that can take the place of literal transcriptions for training acoustic and language models. ATRS1 is an automatic transcription reconstruction system that can produce near-literal transcriptions with almost no human labor. We will show that (i) adapted acoustic models trained on ATRS data perform as we...