31 citations · 243 across the 42 of their papers we have counts for
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Spiking Neural Beamforming for Multichannel Speech Enhancement on the Edge
Hanan Beit-On, Eli Shapira, Boaz Rafaely
Speech enhancement with wearable and edge devices requires architectures that balance enhancement quality against power and memory resources. Spiking Neural Networks (SNNs) offer a…
Neural Field-of-View for Binaural Signal Matching with Wearable Microphone Arrays
Matan Yifrach, Boaz Rafaely
The growing use of spatial audio in applications such as augmented and virtual reality has driven the development of binaural reproduction methods for wearable arrays with a limite…
Generative Learning for Ambisonic Upscaling
Amit Milstein, Nir Shlezinger, Boaz Rafaely
Ambisonics Upscaling (AU) aims to enhance the spatial resolution of sound fields by estimating high-order Ambisonics (HOA) components from low-order observations. While deep learni…
Array-Agnostic Ambisonics Encoding via Diffusion Posterior Sampling
Amit Milstein, Nir Shlezinger, Boaz Rafaely
Spatial audio enhances user immersion by reproducing 3D sound fields, with Ambisonics being a widely adopted representation. While Ambisonics is theoretically independent of the re…
AmbiDrop: Ambisonics-Based Array-Agnostic Neural Speech Enhancement
Michael Tatarjitzky, Vladimir Tourbabin, Boaz Rafaely
Multichannel Deep Neural Networks (DNNs) have significantly improved speech enhancement performance; however, they typically remain constrained by reliance on fixed microphone arra…