Implicitly Supervised Language Model Adaptation for Meeting Transcription

We describe the use of meeting metadata, acquired using a computerized meeting organization and note-taking system, to improve automatic transcription of meetings. By applying a two-step language model adaptation process based on notes and agenda items, we were able to reduce perplexity by 9% and word error rate by 4% relative on a set of ten meetings recorded in-house. This approach can be used to leverage other types of metadata.

• Type: Conference
• Year: 2007
• Where: NAACL
• Authors: David Huggins-Daines, Alexander I. Rudnicky
• Keywords: Computational Linguistics, Computerized Meeting Organization, Meeting Metadata, NAACL 2007, Two-step Language Model