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Authors: Piotr Żelasko 1 ; Tomasz Jadczyk 2 and Bartosz Ziółko 2

Affiliations: 1 AGH University of Science and Technology, Poland ; 2 AGH University of Science and Technology and Techmo, Poland

ISBN: 978-989-758-046-8

Keyword(s): ASR, Breath, Breath Detection, Filled Pause, Filled Pause Detection, Filler, Filler detection, HMM, IVR, Speech, Speech Recognition, Spontaneous Speech.

Related Ontology Subjects/Areas/Topics: Biometrics and Pattern Recognition ; Design and Implementation of Signal Processing Systems ; Human-Machine Interface ; Multimedia ; Multimedia Signal Processing ; Multimedia Systems and Applications ; Telecommunications

Abstract: The phenomena of filled pauses and breaths pose a challenge to Automatic Speech Recognition (ASR) systems dealing with spontaneous speech, including recognizer modules in Interactive Voice Reponse (IVR) systems. We suggest a method based on Hidden Markov Models (HMM), which is easily integrated into HMM-based ASR systems and allows detection of those disturbances without incorporating additional parameters. Our method involves training the models of disturbances and their insertion in the phrase Markov chain between word-final and word-initial phoneme models. Application of the method in our ASR shows improvement of recognition results in Polish telephonic speech corpus LUNA.

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Paper citation in several formats:
Żelasko, P.; Jadczyk, T. and Ziółko, B. (2014). HMM-based Breath and Filled Pauses Elimination in ASR.In Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2014) ISBN 978-989-758-046-8, pages 255-260. DOI: 10.5220/0005023002550260

@conference{sigmap14,
author={Piotr Żelasko. and Tomasz Jadczyk. and Bartosz Ziółko.},
title={HMM-based Breath and Filled Pauses Elimination in ASR},
booktitle={Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2014)},
year={2014},
pages={255-260},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005023002550260},
isbn={978-989-758-046-8},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2014)
TI - HMM-based Breath and Filled Pauses Elimination in ASR
SN - 978-989-758-046-8
AU - Żelasko, P.
AU - Jadczyk, T.
AU - Ziółko, B.
PY - 2014
SP - 255
EP - 260
DO - 10.5220/0005023002550260

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