Improving the Slovak LVCSR Performance by Cluster-Sensitive Acoustic Model Retraining
In this paper, we present a cluster-dependent adaptation approach for HMM-based acoustic models. The proposed approach employs clustering techniques to group the original training utterances into clusters with predefined number. The clustered speech data are intended to adapt an initially pre-traine...
Main Authors: | Peter Viszlay, Marek Ecegi, Josef Juhar |
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Format: | Article |
Language: | English |
Published: |
VSB-Technical University of Ostrava
2015-01-01
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Series: | Advances in Electrical and Electronic Engineering |
Subjects: | |
Online Access: | http://advances.utc.sk/index.php/AEEE/article/view/1448 |
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