2 papers
eess.AS2026
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…
eess.AS2026
AmbiDrop: Array-Agnostic Speech Enhancement Using Ambisonics Encoding and Dropout-Based Learning
Michael Tatarjitzky, Boaz Rafaely
Multichannel speech enhancement leverages spatial cues to improve intelligibility and quality, but most learning-based methods rely on specific microphone array geometry, unable to…