Dynamic classifier selection: Recent advances and perspectives
Abstract Multiple Classifier Systems (MCS) have been widely studied as an alternative for
increasing accuracy in pattern recognition. One of the most promising MCS approaches is …
increasing accuracy in pattern recognition. One of the most promising MCS approaches is …
Music information retrieval: Recent developments and applications
We provide a survey of the field of Music Information Retrieval (MIR), in particular paying
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …
FMA: A dataset for music analysis
We introduce the Free Music Archive (FMA), an open and easily accessible dataset suitable
for evaluating several tasks in MIR, a field concerned with browsing, searching, and …
for evaluating several tasks in MIR, a field concerned with browsing, searching, and …
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 …
[图书][B] Learning-based methods for comparing sequences, with applications to audio-to-midi alignment and matching
C Raffel - 2016 - search.proquest.com
Sequences of feature vectors are a natural way of representing temporal data. Given a
database of sequences, a fundamental task is to find the database entry which is the most …
database of sequences, a fundamental task is to find the database entry which is the most …
An evaluation of convolutional neural networks for music classification using spectrograms
Music genre recognition based on visual representation has been successfully explored
over the last years. Classifiers trained with textural descriptors (eg, Local Binary Patterns …
over the last years. Classifiers trained with textural descriptors (eg, Local Binary Patterns …
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 …
[HTML][HTML] Classification accuracy is not enough: On the evaluation of music genre recognition systems
BL Sturm - Journal of Intelligent Information Systems, 2013 - Springer
We argue that an evaluation of system behavior at the level of the music is required to
usefully address the fundamental problems of music genre recognition (MGR), and indeed …
usefully address the fundamental problems of music genre recognition (MGR), and indeed …
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 …
Pirhdy: Learning pitch-, rhythm-, and dynamics-aware embeddings for symbolic music
Definitive embeddings remain a fundamental challenge of computational musicology for
symbolic music in deep learning today. Analogous to natural language, music can be …
symbolic music in deep learning today. Analogous to natural language, music can be …