Ali Aroudi is a seasoned researcher with extensive experience in audio signal processing, machine learning, and deep learning applied to hearing aid technology and speech enhancement systems. Aroudi has held significant positions at notable organizations, including the University of Oldenburg, Microsoft, Sony Technology Center, and Meta, where roles included developing advanced algorithms for binaural speech enhancement, speech source separation, and neural decoding systems utilizing EEG signals. Key contributions to the field include published research, such as the article on EEG-based auditory attention decoding and significant advancements in text-to-speech systems, showcasing a strong focus on improving acoustic localization, dereverberation, and real-time application development across diverse platforms.
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