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Found 3 papers, 2 papers with code
Configurable EBEN: Extreme Bandwidth Extension Network to enhance body-conducted speech capture
This paper presents a configurable version of Extreme Bandwidth Extension Network (EBEN), a Generative Adversarial Network (GAN) designed to improve audio captured with body-conduction microphones.
EBEN: Extreme bandwidth extension network applied to speech signals captured with noise-resilient body-conduction microphones
In this paper, we present Extreme Bandwidth Extension Network (EBEN), a Generative Adversarial network (GAN) that enhances audio measured with body-conduction microphones.
BeamLearning: an end-to-end Deep Learning approach for the angular localization of sound sources using raw multichannel acoustic pressure data
In recent years, the use of deep learning in audio signal processing has allowed to drastically improve performances for machine hearing.
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