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 …
The state of the art ten years after a state of the art: Future research in music information retrieval
BL Sturm - Journal of new music research, 2014 - Taylor & Francis
A decade has passed since the first review of research on a 'flagship application'of music
information retrieval (MIR): the problem of music genre recognition (MGR). During this time …
information retrieval (MIR): the problem of music genre recognition (MGR). During this time …
[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 …
A simple method to determine if a music information retrieval system is a “horse”
BL Sturm - IEEE Transactions on Multimedia, 2014 - ieeexplore.ieee.org
We propose and demonstrate a simple method to explain the figure of merit (FoM) of a music
information retrieval (MIR) system evaluated in a dataset, specifically, whether the FoM …
information retrieval (MIR) system evaluated in a dataset, specifically, whether the FoM …
The GTZAN dataset: Its contents, its faults, their effects on evaluation, and its future use
BL Sturm - arXiv preprint arXiv:1306.1461, 2013 - arxiv.org
The GTZAN dataset appears in at least 100 published works, and is the most-used public
dataset for evaluation in machine listening research for music genre recognition (MGR). Our …
dataset for evaluation in machine listening research for music genre recognition (MGR). Our …
A survey of evaluation in music genre recognition
BL Sturm - International Workshop on Adaptive Multimedia …, 2012 - Springer
Much work is focused upon music genre recognition (MGR) from audio recordings, symbolic
data, and other modalities. While reviews have been written of some of this work before, no …
data, and other modalities. While reviews have been written of some of this work before, no …
Learning sparse dictionaries for music and speech classification
The field of music and speech classification is quite mature with researchers having settled
on the approximate best discriminative representation. In this regard, Zubair et al. showed …
on the approximate best discriminative representation. In this regard, Zubair et al. showed …
Frame synchronization and multi-level subspace analysis for video based face recognition
In this paper, we develop a new video-to-video face recognition algorithm. The major
advantage of the video based method is that more information is available in a video …
advantage of the video based method is that more information is available in a video …
Nonnegative matrix factorization based self-taught learning with application to music genre classification
Availability of large amounts of raw unlabeled data has sparked the recent surge in semi-
supervised learning research. In most works, however, it is assumed that labeled and …
supervised learning research. In most works, however, it is assumed that labeled and …
RETRACTED: Light music online system based on FPGA and Convolutional Neural Network
L Zhao - 2021 - Elsevier
RETRACTED: Light music online system based on FPGA and Convolutional Neural Network -
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