A review of unsupervised feature learning and deep learning for time-series modeling
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 …
feature learning for time-series problems. While these techniques have shown promise for …
Rethinking CNN models for audio classification
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 …
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 …
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 …
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 …
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 …
analysis of musical audio signals with AI-driven approaches An Introduction to Audio …
Comparing recurrent convolutional neural networks for large scale bird species classification
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 …
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 …
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 …
that share similar musical characteristics. In this work, an approach to learn and combine …
Music recommender systems
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 …
the distinctive characteristics of music, as compared to other kinds of media. We then …