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A machine learning approach for computationally and energy efficient speech enhancement in binaural hearing aids.

, , and . ICASSP, page 6515-6519. IEEE, (2016)

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Approximating the Neyman-Pearson detector with 2C-SVMs. Application to radar detection., , , and . Signal Process., (2017)Neural Solutions for High Range Resolution Radar Classification., , , and . IWANN (2), volume 2687 of Lecture Notes in Computer Science, page 559-566. Springer, (2003)Maximum Position Alignment Method for Noisy High-Resolution Radar Target Classification., , , and . IEEE Signal Process. Lett., (2008)Transient modeling by matching pursuits with a wavelet dictionary for parametric audio coding., , , , and . IEEE Signal Process. Lett., 11 (3): 349-352 (2004)An evolutionary algorithm to optimize the microphone array configuration for speech acquisition in vehicles., , , and . Eng. Appl. Artif. Intell., (2014)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)Neural Network Detectors for Composite Hypothesis Tests., , , , and . IDEAL, volume 4224 of Lecture Notes in Computer Science, page 298-305. Springer, (2006)Robust Multi-Scenario Speech-Based Emotion Recognition System., , , and . Sensors, 22 (6): 2343 (2022)Speech/music/noise classification in hearing aids using a two-layer classification system with MSE linear discriminants., , , , and . EUSIPCO, page 1-5. IEEE, (2008)NN-Based Detector for Known Targets in Coherent Weibull Clutter., , , and . IDEAL, volume 4224 of Lecture Notes in Computer Science, page 522-529. Springer, (2006)