DNN-based Models for Speaker Age and Gender Classification

Zakariya Qawaqneh, Arafat Abu Mallouh, Buket D. Barkana

Abstract

Automatic speaker age and gender classification is an active research field due to the continuous and rapid development of applications related to humans’ life and health. In this paper, we propose a new method for speaker age and gender classification, which utilizes deep neural networks (DNNs) as feature extractor and classifier. The proposed method creates a model for each speaker. For each test speech utterance, the similarity between the test model and the speaker class models are compared. Two feature sets have been used: Mel-frequency cepstral coefficients (MFCCs) and shifted delta cepstral (SDC) coefficients. The proposed model by using the SDC feature set achieved better classification results than that of MFCCs. The experimental results showed that the proposed SDC speaker model + SDC class model outperformed all the other systems by achieving 57.21% overall classification accuracy.

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Paper Citation


in Harvard Style

Qawaqneh Z., Abu Mallouh A. and Barkana B. (2017). DNN-based Models for Speaker Age and Gender Classification . In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2017) ISBN 978-989-758-212-7, pages 106-111. DOI: 10.5220/0006096401060111


in Bibtex Style

@conference{biosignals17,
author={Zakariya Qawaqneh and Arafat Abu Mallouh and Buket D. Barkana},
title={DNN-based Models for Speaker Age and Gender Classification},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2017)},
year={2017},
pages={106-111},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006096401060111},
isbn={978-989-758-212-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2017)
TI - DNN-based Models for Speaker Age and Gender Classification
SN - 978-989-758-212-7
AU - Qawaqneh Z.
AU - Abu Mallouh A.
AU - Barkana B.
PY - 2017
SP - 106
EP - 111
DO - 10.5220/0006096401060111