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Author: Tridibesh Dutta

Affiliation: Indian Statistical Institute, India

ISBN: 978-989-8111-25-8

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: The goal of this paper is to study a new approach to text dependent speaker identification using spectrograms. This, mainly, revolves around trapping the complex patterns of variation in frequency and amplitude with time while an individual utters a given word through spectrogram segmentation. These optimally segmented spectrograms are used as a database to successfully identify the unknown individual from his/her voice. The methodology used for identifying, rely on classification of spectrograms (of speech signals), based on template matching of the conditionally quantized frequency-time domain features of the database spectrogram samples and the unknown speech sample. Performance of this novel approach on a sample collected from 40 speakers show that this methodology can be effectively used to produce a desirable success rate.

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Paper citation in several formats:
Dutta T. and (2008). Text-Dependent Speaker Identification using Spectrograms based on Conditional Quantization.In Proceedings of the 1st International Workshop on Image Mining Theory and Applications IMTA 2008 - Volume 1: IMTA, (VISIGRAPP 2008) ISBN 978-989-8111-25-8, pages 133-142. DOI: 10.5220/0002338301330142

@conference{imta08,
author={Tridibesh Dutta},
title={Text-Dependent Speaker Identification using Spectrograms based on Conditional Quantization},
booktitle={Proceedings of the 1st International Workshop on Image Mining Theory and Applications IMTA 2008 - Volume 1: IMTA, (VISIGRAPP 2008)},
year={2008},
pages={133-142},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002338301330142},
isbn={978-989-8111-25-8},
}

TY - CONF

JO - Proceedings of the 1st International Workshop on Image Mining Theory and Applications IMTA 2008 - Volume 1: IMTA, (VISIGRAPP 2008)
TI - Text-Dependent Speaker Identification using Spectrograms based on Conditional Quantization
SN - 978-989-8111-25-8
AU - Dutta, T.
PY - 2008
SP - 133
EP - 142
DO - 10.5220/0002338301330142

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