WaveBYOL: Self-Supervised Learning for Audio Representation From Raw Waveforms
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3239660
Abstract: In this paper, we propose the WaveBYOL model, which can learn general-purpose audio representations directly from raw waveforms based on the bootstrap your own latent (BYOL) approach, a Siamese neural network architecture. WaveBYOL does not… read more here.
Keywords: raw waveforms; self supervised; model; learning audio ... See more keywords
DCAR: A Discriminative and Compact Audio Representation for Audio Processing
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2017.2703939
Abstract: This paper presents a novel two-phase method for audio representation, discriminative and compact audio representation (DCAR), and evaluates its performance at detecting events and scenes in consumer-produced videos. In the first phase of DCAR, each… read more here.
Keywords: compact audio; discriminative compact; audio representation; dcar ... See more keywords