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
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
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 …
[BUCH][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
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 …
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 …
Multi-label music genre classification from audio, text, and images using deep features
Music genres allow to categorize musical items that share common characteristics. Although
these categories are not mutually exclusive, most related research is traditionally focused on …
these categories are not mutually exclusive, most related research is traditionally focused on …