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Exploring the feasibility of a two-layer NN-based sound classifier for hearing aids.

, , , and . EUSIPCO, page 227-231. IEEE, (2007)

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Automatic Sound Classification for Improving Speech Intelligibility in Hearing Aids Using a Layered Structure., , , , and . IDEAL, volume 4224 of Lecture Notes in Computer Science, page 306-313. Springer, (2006)Exploring the feasibility of a two-layer NN-based sound classifier for hearing aids., , , and . EUSIPCO, page 227-231. IEEE, (2007)Significant wave height and energy flux range forecast with machine learning classifiers., , , , and . Eng. Appl. Artif. Intell., (2015)Influence of Acoustic Feedback on the Learning Strategies of Neural Network-Based Sound Classifiers in Digital Hearing Aids., , , , and . EURASIP J. Adv. Signal Process., (2009)Hybridizing Extreme Learning Machines and Genetic Algorithms to select acoustic features in vehicle classification applications., , , , and . Neurocomputing, (2015)Enhancing the energy efficiency of wireless-communicated binaural hearing aids for speech separation driven by soft-computing algorithms., , , , , and . Appl. Soft Comput., 12 (7): 1939-1949 (2012)Feature Selection for Sound Classification in Hearing Aids Through Restricted Search Driven by Genetic Algorithms., , , and . IEEE Trans. Speech Audio Process., 15 (8): 2249-2256 (2007)Speech/music/noise classification in hearing aids using a two-layer classification system with MSE linear discriminants., , , , and . EUSIPCO, page 1-5. IEEE, (2008)Two-layer automatic sound classification system for conversation enhancement in hearing aids., , , , and . Integr. Comput. Aided Eng., 15 (1): 85-94 (2008)Hybridizing Cartesian Genetic Programming and Harmony Search for adaptive feature construction in supervised learning problems., , , , , and . Appl. Soft Comput., (2017)