Energy-Efficient Sound Environment Classifier for Hearing Aids Based on Multi-objective Simulated Annealing Programming-Reference-Cited by-同舟云学术

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Energy-Efficient Sound Environment Classifier for Hearing Aids Based on Multi-objective Simulated Annealing Programming

Published:2015 Issue: Volume: Page:261-270
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Cocaña-Fernández Alberto,Sánchez Luciano,Ranilla José,Gil-Pita Roberto,Ayllón David

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-19719-7_23

Reference16 articles.

1. Witten IH, Frank E, Hall MA (2011) Data mining: practical machine learning tools and techniques. Elsevier

2. Hamacher V, Chalupper J, Eggers J, Fischer E, Kornagel U, Puder H, Rass U (2005) Signal processing in high-end hearing aids: state of the art, challenges, and future trends. EURASIP J Adv Signal Process 2005(18):2915–2929

3. Büchler M, Allegro S, Launer S, Dillier N (2005) Sound classification in hearing aids inspired by auditory scene analysis. EURASIP J Adv Signal Process 2005(18):2991–3002

4. Li M, McAllister H, Black N, De Perez T (2001) Perceptual time-frequency subtraction algorithm for noise reduction in hearing aids. IEEE Transa Biomed Eng 48(9):979–988

5. Maj JB, Royackers L, Moonen M, Wouters J (2005) SVD-based optimal filtering for noise reduction in dual microphone hearing aids: a real time implementation and perceptual evaluation. IEEE Trans Biomed Eng 52(9):1563–1573

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1. Multicriteria Design of Cost-Conscious Fuzzy Rule-Based Classifiers;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems;2017-12

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