IMPROVED PARALLEL MODEL COMBINATION BASED ON BETTER DOMAIN TRANSFORMATION FOR SPEECH RECOGNITION UNDER NOISY ENVIRONMENTS
Journal
5th International Conference on Spoken Language Processing, ICSLP 1998
Date Issued
1998
Author(s)
Abstract
The parallel model combination (PMC) technique has been shown to achieve very good performance for speech recognition under noisy conditions. However, there still exist some problems based on the PMC formula. In this paper, we first investigated these problems and some modifications on the transformation process of PMC were proposed. Experimental results show that this modified PMC can provide significant improvements over the original PMC in the recognition accuracies. Error rate reduction on the order of 12.92% was achieved. © 1998. 5th International Conference on Spoken Language Processing, ICSLP 1998. All rights reserved.
Other Subjects
Combination formula; Domain transformation; Error rate reduction; Noisy conditions; Noisy environment; Parallel model combinations; Performance; Problem-based; Recognition accuracy; Transformation process; Speech recognition
Type
conference paper