Robustness of musical features on deep learning models for music genre classification
Music information retrieval (MIR) has witnessed rapid advances in various tasks like musical
similarity, music genre classification (MGC), etc. MGC and audio tagging are approached …
similarity, music genre classification (MGC), etc. MGC and audio tagging are approached …
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 …
Semantic audio content-based music recommendation and visualization based on user preference examples
Preference elicitation is a challenging fundamental problem when designing recommender
systems. In the present work we propose a content-based technique to automatically …
systems. In the present work we propose a content-based technique to automatically …
[PDF][PDF] Rhythmic Pattern Modeling for Beat and Downbeat Tracking in Musical Audio.
Rhythmic patterns are an important structural element in music. This paper investigates the
use of rhythmic pattern modeling to infer metrical structure in musical audio recordings. We …
use of rhythmic pattern modeling to infer metrical structure in musical audio recordings. We …
[HTML][HTML] Masked conditional neural networks for sound classification
F Medhat, D Chesmore, J Robinson - Applied Soft Computing, 2020 - Elsevier
The remarkable success of deep convolutional neural networks in image-related
applications has led to their adoption also for sound processing. Typically the input is a time …
applications has led to their adoption also for sound processing. Typically the input is a time …
The problem of limited inter-rater agreement in modelling music similarity
One of the central goals of Music Information Retrieval (MIR) is the quantification of similarity
between or within pieces of music. These quantitative relations should mirror the human …
between or within pieces of music. These quantitative relations should mirror the human …
Unifying low-level and high-level music similarity measures
Measuring music similarity is essential for multimedia retrieval. For music items, this task can
be regarded as obtaining a suitable distance measurement between songs defined on a …
be regarded as obtaining a suitable distance measurement between songs defined on a …
[PDF][PDF] Using block-level features for genre classification, tag classification and music similarity estimation
K Seyerlehner, M Schedl, T Pohle… - Submission to Audio Music …, 2010 - music-ir.org
USING BLOCK-LEVEL FEATURES FOR GENRE CLASSIFICATION, TAG CLASSIFICATION
AND MUSIC SIMILARITY ESTIMATION Page 1 USING BLOCK-LEVEL FEATURES FOR …
AND MUSIC SIMILARITY ESTIMATION Page 1 USING BLOCK-LEVEL FEATURES FOR …
Background music recommendation based on latent factors and moods
CL Liu, YC Chen - Knowledge-Based Systems, 2018 - Elsevier
Many mobile devices are equipped with video shooting function, and users tend to use
these mobile devices to produce user generated content (UGC), and share with friends or …
these mobile devices to produce user generated content (UGC), and share with friends or …
[PDF][PDF] Fusing block-level features for music similarity estimation
K Seyerlehner, G Widmer, T Pohle - Proc. of the 13th Int. Conference …, 2010 - dafx10.iem.at
In this paper we present a novel approach to computing music similarity based on block-
level features. We first introduce three novel block-level features—the Variance Delta …
level features. We first introduce three novel block-level features—the Variance Delta …