BUT Opensat 2019 Speech Recognition System

The paper describes the BUT Automatic Speech Recognition (ASR) systems submitted for OpenSAT evaluations under two domain categories such as low resourced languages and public safety communications. The first was challenging due to lack of training data, therefore various architectures and multiling...

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Bibliographic Details
Published in:arXiv.org 2020-01
Main Authors: Karafiát, Martin, Baskar, Murali Karthick, Szöke, Igor, Vydana, Hari Krishna, Veselý, Karel, Jan "Honza'' Černocký
Format: Article
Language:English
Subjects:
Automatic speech recognition
Domains
Public safety
Systems analysis
Voice recognition
Online Access:Get full text
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Summary:The paper describes the BUT Automatic Speech Recognition (ASR) systems submitted for OpenSAT evaluations under two domain categories such as low resourced languages and public safety communications. The first was challenging due to lack of training data, therefore various architectures and multilingual approaches were employed. The combination led to superior performance. The second domain was challenging due to recording in extreme conditions such as specific channel, speaker under stress and high levels of noise. Data augmentation process was inevitable to get reasonably good performance.
ISSN:2331-8422