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Publication detail
GRÉZL, F.
Original Title
Effect of normalization on TRAP based systems in ASR
Type
conference paper
Language
English
Original Abstract
Good performance in noisy conditions is one of the most important attributes of automatic speech recognition (ASR) system in practical applications. We are focusing on the effect of the on-line mean and variance normalization of temporal vectors in this work. We are comparing the performance of the Temporal Pattern (TRAP) system with different kinds of normalization in different noisy conditions. The performance of system with temporal vectors projected on basis obtained by linear discriminant analysis (LDA) is also investigated. Experiments show better performance of system using vector projection in noisy conditions.
Keywords
normalization, noisy speech recognition, TRAP, feature extraction
Authors
RIV year
2003
Released
6. 5. 2003
Publisher
Department of Radioelectronics FEEC BUT
Location
Brno
ISBN
80-214-2383-8
Book
Proc. 13th International scientific conference Radioelektronika 2003
Pages from
128
Pages to
131
Pages count
4
BibTex
@inproceedings{BUT14206, author="František {Grézl}", title="Effect of normalization on TRAP based systems in ASR", booktitle="Proc. 13th International scientific conference Radioelektronika 2003", year="2003", pages="128--131", publisher="Department of Radioelectronics FEEC BUT", address="Brno", isbn="80-214-2383-8" }