Dance with melody: An lstm-autoencoder approach to music-oriented dance synthesis

T Tang, J Jia, H Mao - Proceedings of the 26th ACM international …, 2018 - dl.acm.org
Dance is greatly influenced by music. Studies on how to synthesize music-oriented dance
choreography can promote research in many fields, such as dance teaching and human …

Signal processing for music analysis

M Muller, DPW Ellis, A Klapuri… - IEEE Journal of selected …, 2011 - ieeexplore.ieee.org
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 …

[PDF][PDF] State of the Art Report: Audio-Based Music Structure Analysis.

J Paulus, M Müller, A Klapuri - Ismir, 2010 - paulus.kapsi.fi
Folie 1 Page 1 Paulus, Müller, Klapuri – Audio-Based Music Structure Analysis – ISMIR 2010
Jouni Paulus* (Fraunhofer Institute for Integrated Circuits IIS, Germany) Meinard Müller (Saarland …

Music genre classification using machine learning techniques

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 …

[PDF][PDF] Music Genre Recognition Using Deep Neural Networks and Transfer Learning.

D Ghosal, MH Kolekar - Interspeech, 2018 - academia.edu
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 …

MFCC-based descriptor for bee queen presence detection

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 …

A musically motivated mid-level representation for pitch estimation and musical audio source separation

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 …

Ensemble of handcrafted and deep features for urban sound classification

JS Luz, MC Oliveira, FHD Araujo, DMV Magalhães - Applied Acoustics, 2021 - Elsevier
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 …

How does it sound?

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 …

Multi-task self-supervised pre-training for music classification

HH Wu, CC Kao, Q Tang, M Sun… - ICASSP 2021-2021 …, 2021 - ieeexplore.ieee.org
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 …