Radio frequency (RF) spectrogram analysis for indoor human activity recognition has traditionally relied on supervised learning with larger labeled datasets. We present a novel framework that employs ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

Abstract: In this work, we propose CleanMel, a single-channel Mel-spectrogram denoising and dereverberation network for improving both speech quality and automatic speech recognition (ASR) performance ...

Abstract: In gesture recognition based on millimeter-wave radar, generating spectrograms is typically independent of the actual application and designed separately. In this case, the task is simply ...

Pilots’ voices from the last seconds of a fatal cargo plane crash have been re-created by Internet sleuths using software and ...

Hearing impairment selectively disrupts neural tracking of speech at both short and long temporal scales during multi-speaker listening, while preserving intermediate linguistic processing.