Result Details
Summary report of project "Speech enhancement front-end for robust automatic speech recognition with large amount of training data" for Year 2017
ŽMOLÍKOVÁ, K. Summary report of project "Speech enhancement front-end for robust automatic speech recognition with large amount of training data" for Year 2017. Brno: NTT Corporation, 2017. 1 p.
Type
summary research report
Language
English
Authors
Žmolíková Kateřina, Ing., Ph.D., DCGM (FIT)
Abstract
The research report deals with the optimization of speaker-aware multichannel speech extraction with ASR criterion for robust speech recognition. It has the form of a conference paper.
Keywords
speech recognition, robustness, DNN, speaker separation
Published
2017
Pages
1
Publisher
NTT Corporation
Place
Brno
BibTeX
@misc{BUT146435,
author="Kateřina {Žmolíková}",
title="Summary report of project {"}Speech enhancement front-end for robust automatic speech recognition with large amount of training data{"} for Year 2017",
year="2017",
pages="1",
publisher="NTT Corporation",
address="Brno",
url="https://www.fit.vut.cz/research/publication/11634/",
note="Summary research report"
}
Files
Projects
NTT - Speech enhancement front-end for robust automatic speech recognition with large amount of training data, NTT, start: 2017-10-01, end: 2018-09-30, completed
Research groups
Speech Data Mining Research Group BUT Speech@FIT (RG SPEECH)
Departments