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A survey of evaluation in music genre recognition
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 …
M2c: Concise music representation for 3d dance generation
Generating 3D dance motions that are synchronized with music is a difficult task, as it
involves modeling the complex interplay between musical rhythms and human body …
involves modeling the complex interplay between musical rhythms and human body …
Quantitative analysis of a common audio similarity measure
For music information retrieval tasks, a nearest neighbor classifier using the Kullback-Leibler
divergence between Gaussian mixture models of songs' melfrequency cepstral coefficients …
divergence between Gaussian mixture models of songs' melfrequency cepstral coefficients …
Musical Genre Classification using Advanced Audio Analysis and Deep Learning Techniques
Classifying music genres has been a significant problem in the decade of seamless music
streaming platforms and countless content creations. An accurate music genre classification …
streaming platforms and countless content creations. An accurate music genre classification …
Software-based extraction of objective parameters from music performances
A Lerch - 2008 - vtechworks.lib.vt.edu
Different music performances of the same score may significantly differ from each other. It is
obvious that not only the composer's work, the score, defines the listener's music …
obvious that not only the composer's work, the score, defines the listener's music …
Dynamic nonparametric Bayesian models for analysis of music
The dynamic hierarchical Dirichlet process (dHDP) is developed to model complex
sequential data, with a focus on audio signals from music. The music is represented in terms …
sequential data, with a focus on audio signals from music. The music is represented in terms …
Enhancing timbre model using MFCC and its time derivatives for music similarity estimation
One of the popular methods for content-based music similarity estimation is to model timbre
with MFCC as a single multivariate Gaussian with full covariance matrix, then use symmetric …
with MFCC as a single multivariate Gaussian with full covariance matrix, then use symmetric …
A tempo-insensitive distance measure for cover song identification based on chroma features
We present a distance measure between audio files designed to identify cover songs, which
are new renditions of previously recorded songs. For each song we compute the …
are new renditions of previously recorded songs. For each song we compute the …
Investigation of wavelet approaches for joint temporal, spectral and cepstral features in audio semantics
The current paper focuses on the investigation of wavelet approaches for joint time,
frequency and cepstral audio feature extraction. Wavelets have been thoroughly studied …
frequency and cepstral audio feature extraction. Wavelets have been thoroughly studied …
Multiple machine learning approach to characterize two-dimensional nanoelectronic devices via featurization of charge fluctuation
Abstract Two-dimensional (2D) layered materials such as graphene, molybdenum disulfide
(MoS2), tungsten disulfide (WSe2), and black phosphorus (BP) provide unique opportunities …
(MoS2), tungsten disulfide (WSe2), and black phosphorus (BP) provide unique opportunities …