David Ayllón — accepted AI-conference papers

2016

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

David Ayllón, Roberto Gil-Pita, Manuel Rosa-Zurera

ICASSP 2016accepted

A binaural speech enhancement algorithm that combines superdirective beamforming with time-frequency (TF) masking is proposed. Supervised machine learning is used to design a speech/noise classifier that estimates the ideal binary mask (IBM), which is further softened to reduce musical noise. The me…

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2015

Real-time multiple DOA estimation of speech sources in wireless acoustic sensor networks

David Ayllón, Roberto Gil-Pita, Manuel Rosa-Zurera, Hamid Krim

ICASSP 2015accepted

Indoor localization of multiple speech sources in wireless acoustic sensor networks (WASNs) is an open and interesting problem with many practical applications, but the presence of noise and reverberations complicates the problem. In this paper, a distributed algorithm for multiple DOA estimation of…

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