Da-TACOS: A dataset for cover song identification and understanding
This paper focuses on Cover Song Identification (CSI), an important research challenge in
content-based Music Information Retrieval (MIR). Although the task itself is interesting and …
content-based Music Information Retrieval (MIR). Although the task itself is interesting and …
Key-invariant convolutional neural network toward efficient cover song identification
X Xu, X Chen, D Yang - 2018 IEEE International Conference on …, 2018 - ieeexplore.ieee.org
Cover song identification has long been a challenging task due to key, timbre and structure
variations in different renditions of a song. Previous research mostly involves handcrafted …
variations in different renditions of a song. Previous research mostly involves handcrafted …
A computational study on outliers in world music
The comparative analysis of world music cultures has been the focus of several
ethnomusicological studies in the last century. With the advances of Music Information …
ethnomusicological studies in the last century. With the advances of Music Information …
[PDF][PDF] Corpus Analysis Tools for Computational Hook Discovery.
Compared to studies with symbolic music data, advances in music description from audio
have overwhelmingly focused on ground truth reconstruction and maximizing prediction …
have overwhelmingly focused on ground truth reconstruction and maximizing prediction …
Melodic similarity and applications using biologically-inspired techniques
Music similarity is a complex concept that manifests itself in areas such as Music Information
Retrieval (MIR), musicological analysis and music cognition. Modelling the similarity of two …
Retrieval (MIR), musicological analysis and music cognition. Modelling the similarity of two …
Large-scale cover song detection in digital music libraries using metadata, lyrics and audio features
AA Correya, R Hennequin, M Arcos - arXiv preprint arXiv:1808.10351, 2018 - arxiv.org
Cover song detection is a very relevant task in Music Information Retrieval (MIR) studies and
has been mainly addressed using audio-based systems. Despite its potential impact in …
has been mainly addressed using audio-based systems. Despite its potential impact in …
Learning a feature space for similarity in world music
In this study we investigate computational methods for assessing music similarity in world
music styles. We use state-of-the-art audio features to describe musical content in world …
music styles. We use state-of-the-art audio features to describe musical content in world …
Triplet convolutional network for music version identification
X Qi, D Yang, X Chen - … , MMM 2018, Bangkok, Thailand, February 5-7 …, 2018 - Springer
Music version identification has long been a difficult task in the music information retrieval
field, due to the variations in tempo, key and structure. Most existing methods use hand …
field, due to the variations in tempo, key and structure. Most existing methods use hand …
Audio feature learning with triplet-based embedding network
X Qi, D Yang, X Chen - Proceedings of the AAAI Conference on …, 2017 - ojs.aaai.org
We propose a triplet-based network for audio feature learning for version identification.
Existing methods use hand-crafted features for a music as a whole while we learn features …
Existing methods use hand-crafted features for a music as a whole while we learn features …
[PDF][PDF] On the evaluation of rhythmic and melodic descriptors for music similarity
In exploratory studies of large music collections where often no ground truth is available, it is
essential to evaluate the suitability of the underlying methods prior to drawing any …
essential to evaluate the suitability of the underlying methods prior to drawing any …