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A Fuzzy-Based System for Actor Node Selection in WSANs for Improving Network Connectivity and Increasing Number of Covered Sensors Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Slovak Broadcast News Speech Recognition and Transcription System

Authors : Martin Lojka, Peter Viszlay, Ján Staš, Daniel Hládek, Jozef Juhár

Published in: Advances in Network-Based Information Systems

Publisher: Springer International Publishing

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Abstract

We have developed a working prototype of automatic subtitling system for transcription, archiving, and indexing of Slovak audiovisual recordings, such as lectures, talks, discussions or broadcast news. To go further in the development and research, we had to incorporate more and more modern speech technologies and embrace nowadays deep learning techniques. This paper describes transition and changes made to our working prototype regarding speech recognition core replacement, architecture changes and new web-based user interface. We have used the state-of-the art speech toolkit KALDI and distributed architecture to achieve better responsivity of the interface and faster processing of the audiovisual recordings. Using acoustic models based on time delay deep neural networks we have been able to lower the system’s average word error rate from previously reported 24% to 15%, absolutely.

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Metadata
Title
Slovak Broadcast News Speech Recognition and Transcription System
Authors
Martin Lojka
Peter Viszlay
Ján Staš
Daniel Hládek
Jozef Juhár
Copyright Year
2019
Book
Advances in Network-Based Information Systems

Print ISBN: 978-3-319-98529-9

Electronic ISBN: 978-3-319-98530-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-98530-5_32

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