CUED Publications database

An initial investigation of long-term adaptation for meeting transcription

Chen, X and Gales, MJF and Knill, K and Breslin, C and Chen, L and Chin, KK and Wan, V (2014) An initial investigation of long-term adaptation for meeting transcription. In: UNSPECIFIED pp. 954-958..

Full text not available from this repository.

Abstract

Copyright © 2014 ISCA. Meeting transcription is a very useful and challenging task. The majority of research to date has focused on individual meeting, or only a small group of meetings. In many practical deployments, multiple related meetings will take place over a long period of time. This paper describes an initial investigation of how this long-term data can be used to improve meeting transcription. A corpus of technical meetings, using a single microphone array, was collected over a two year period, yielding a total of 179 hours of meeting data. Baseline systems using deep neural network acoustic models, in both Tandem and Hybrid configurations, and neural network-based language models are described. The impact of supervised and unsupervised adaptation of the acoustic models is then evaluated, as well as the impact of improved language models.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div F > Machine Intelligence
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:37
Last Modified: 17 Oct 2017 01:40
DOI: