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This paper proposes the use of some musical-inspired features for the automatic classification of sounds in digital hearing aids. This kind of application is characterized by very strong constraints in terms of computational complexity. The proposed features are based on fundamental frequency detection and exhibit a low computational complexity while providing good results in terms of probability of correct classification. The performance of the system will be tested using an 1-NN classifier being the goal to distinguish among speech, noise and music. For the experiments, a sound database, obtained using a hearing aid simulator, will be used.
Author (s): Alexandre, Enrique; Canadas-Quesada, Francisco Jesus; Rosa-Zurera, Manuel; Ruiz-Reyes, Nicolas; Vera-Candeas, Pedro
Affiliation:
University of Jaen;University of Alcala
(See document for exact affiliation information.)
AES Convention: 124
Paper Number:7435
Publication Date:
2008-05-06
Import into BibTeX
Session subject:
Room and Architectural Acoustics; Sound Reinforcement
Permalink: https://aes2.org/publications/elibrary-page/?id=14565
(193KB)
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Alexandre, Enrique; Canadas-Quesada, Francisco Jesus; Rosa-Zurera, Manuel; Ruiz-Reyes, Nicolas; Vera-Candeas, Pedro; 2008; Musical-Inspired Features for Automatic Sound Classification in Digital Hearing Aids [PDF]; University of Jaen;University of Alcala; Paper 7435; Available from: https://aes2.org/publications/elibrary-page/?id=14565
Alexandre, Enrique; Canadas-Quesada, Francisco Jesus; Rosa-Zurera, Manuel; Ruiz-Reyes, Nicolas; Vera-Candeas, Pedro; Musical-Inspired Features for Automatic Sound Classification in Digital Hearing Aids [PDF]; University of Jaen;University of Alcala; Paper 7435; 2008 Available: https://aes2.org/publications/elibrary-page/?id=14565
@article{alexandre2008musical-inspired,
author={alexandre enrique and canadas-quesada francisco jesus and rosa-zurera manuel and ruiz-reyes nicolas and vera-candeas pedro},
journal={journal of the audio engineering society},
title={musical-inspired features for automatic sound classification in digital hearing aids},
year={2008},
number={7435},
month={may},}
TY – paper
TI – Musical-Inspired Features for Automatic Sound Classification in Digital Hearing Aids
AU – Alexandre, Enrique
AU – Canadas-Quesada, Francisco Jesus
AU – Rosa-Zurera, Manuel
AU – Ruiz-Reyes, Nicolas
AU – Vera-Candeas, Pedro
PY – 2008
JO – Journal of the Audio Engineering Society
VL – 7435
Y1 – May 2008