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Publication detail
KARAFIÁT, M. BURGET, L. GRÉZL, F. VESELÝ, K. ČERNOCKÝ, J.
Original Title
Multilingual Region-Dependent Transforms
Type
conference paper
Language
English
Original Abstract
This paper presented our further steps in the development of a feature extraction scheme easily transferable to a new language with severely limited training data.
Keywords
Automatic speech recognition, Region-Dependent Transforms, Multilingual speech recognition, Feedforward neural networks
Authors
KARAFIÁT, M.; BURGET, L.; GRÉZL, F.; VESELÝ, K.; ČERNOCKÝ, J.
Released
6. 4. 2016
Publisher
IEEE Signal Processing Society
Location
Shanghai
ISBN
978-1-4799-9988-0
Book
Proceedings of the 41th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), 2016
Pages from
5430
Pages to
5434
Pages count
5
URL
https://www.fit.vut.cz/research/publication/11146/
BibTex
@inproceedings{BUT130965, author="Martin {Karafiát} and Lukáš {Burget} and František {Grézl} and Karel {Veselý} and Jan {Černocký}", title="Multilingual Region-Dependent Transforms", booktitle="Proceedings of the 41th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), 2016", year="2016", pages="5430--5434", publisher="IEEE Signal Processing Society", address="Shanghai", doi="10.1109/ICASSP.2016.7472715", isbn="978-1-4799-9988-0", url="https://www.fit.vut.cz/research/publication/11146/" }