Music signal processing may appear to be the junior relation of the large and mature field of speech signal processing, not least because many techniques and representations …
H Bahuleyan - arXiv preprint arXiv:1804.01149, 2018 - arxiv.org
Categorizing music files according to their genre is a challenging task in the area of music information retrieval (MIR). In this study, we compare the performance of two classes of …
Music genre recognition is a very interesting area of research in the broad scope of music information retrieval and audio signal processing. In this work we propose a novel approach …
BS Soares, JS Luz, VF de Macêdo, RRV e Silva… - Expert Systems with …, 2022 - Elsevier
Monitoring and detecting hive health are essential for the development of ecosystem conservation strategies and sustainable beekeeping. The absence of the queen bee is a …
JL Durrieu, B David, G Richard - IEEE Journal of Selected …, 2011 - ieeexplore.ieee.org
When designing an audio processing system, the target tasks often influence the choice of a data representation or transformation. Low-level time-frequency representations such as the …
The urban sound classification has a strong relation with feature extraction. In this paper, we present a compact and effective representation capable of characterizing different urban …
K Su, X Liu, E Shlizerman - Advances in Neural Information …, 2021 - proceedings.neurips.cc
One of the primary purposes of video is to capture people and their unique activities. It is often the case that the experience of watching the video can be enhanced by adding a …
Deep learning is very data hungry, and supervised learning especially requires massive labeled data to work well. Machine listening research often suffers from limited labeled data …