A review of unsupervised feature learning and deep learning for time-series modeling

M Längkvist, L Karlsson, A Loutfi - Pattern recognition letters, 2014 - Elsevier
This paper gives a review of the recent developments in deep learning and unsupervised
feature learning for time-series problems. While these techniques have shown promise for …

Rethinking CNN models for audio classification

K Palanisamy, D Singhania, A Yao - arXiv preprint arXiv:2007.11154, 2020 - arxiv.org
In this paper, we show that ImageNet-Pretrained standard deep CNN models can be used
as strong baseline networks for audio classification. Even though there is a significant …

Environmental sound classification with convolutional neural networks

KJ Piczak - 2015 IEEE 25th international workshop on machine …, 2015 - ieeexplore.ieee.org
This paper evaluates the potential of convolutional neural networks in classifying short audio
clips of environmental sounds. A deep model consisting of 2 convolutional layers with max …

Deep content-based music recommendation

A Van den Oord, S Dieleman… - Advances in neural …, 2013 - proceedings.neurips.cc
Automatic music recommendation has become an increasingly relevant problem in recent
years, since a lot of music is now sold and consumed digitally. Most recommender systems …

End-to-end learning for music audio

S Dieleman, B Schrauwen - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
Content-based music information retrieval tasks have traditionally been solved using
engineered features and shallow processing architectures. In recent years, there has been …

[图书][B] An introduction to audio content analysis: Music Information Retrieval tasks and applications

A Lerch - 2022 - books.google.com
An Introduction to Audio Content Analysis Enables readers to understand the algorithmic
analysis of musical audio signals with AI-driven approaches An Introduction to Audio …

Comparing recurrent convolutional neural networks for large scale bird species classification

G Gupta, M Kshirsagar, M Zhong, S Gholami… - Scientific reports, 2021 - nature.com
We present a deep learning approach towards the large-scale prediction and analysis of
bird acoustics from 100 different bird species. We use spectrograms constructed on bird …

Improved musical onset detection with convolutional neural networks

J Schlüter, S Böck - 2014 ieee international conference on …, 2014 - ieeexplore.ieee.org
Musical onset detection is one of the most elementary tasks in music analysis, but still only
solved imperfectly for polyphonic music signals. Interpreted as a computer vision problem in …

Multimodal deep learning for music genre classification

S Oramas, F Barbieri, O Nieto Caballero… - Transactions of the …, 2018 - repositori.upf.edu
Music genre labels are useful to organize songs, albums, and artists into broader groups
that share similar musical characteristics. In this work, an approach to learn and combine …

Music recommender systems

M Schedl, P Knees, B McFee, D Bogdanov… - Recommender systems …, 2015 - Springer
This chapter gives an introduction to music recommender systems research. We highlight
the distinctive characteristics of music, as compared to other kinds of media. We then …