research
∙
12/21/2022
Polytopic Analysis of Music
Structural segmentation of music refers to the task of finding a symboli...
share
research
∙
10/27/2022
Convolutive Block-Matching Segmentation Algorithm with Application to Music Structure Analysis
Music Structure Analysis (MSA) consists of representing a song in sectio...
research
∙
02/10/2022
Semi-Supervised Convolutive NMF for Automatic Music Transcription
Automatic Music Transcription, which consists in transforming an audio r...
research
∙
02/10/2022
Barwise Compression Schemes for Audio-Based Music Structure Analysis
Music Structure Analysis (MSA) consists in segmenting a music piece in s...
research
∙
11/24/2021
Dictionary-based Low-Rank Approximations and the Mixed Sparse Coding problem
Constrained tensor and matrix factorization models allow to extract inte...
research
∙
10/27/2021
Exploring single-song autoencoding schemes for audio-based music structure analysis
The ability of deep neural networks to learn complex data relations and ...
research
∙
10/27/2021
Nonnegative Tucker Decomposition with Beta-divergence for Music Structure Analysis of audio signals
Nonnegative Tucker Decomposition (NTD), a tensor decomposition model, ha...
research
∙
10/04/2021
An AO-ADMM approach to constraining PARAFAC2 on all modes
Analyzing multi-way measurements with variations across one mode of the ...
research
∙
04/17/2021
Uncovering audio patterns in music with Nonnegative Tucker Decomposition for structural segmentation
Recent work has proposed the use of tensor decomposition to model repeti...
research
∙
02/03/2021
PARAFAC2 AO-ADMM: Constraints in all modes
The PARAFAC2 model provides a flexible alternative to the popular CANDEC...
research
∙
09/14/2020
Continuous dictionaries meet low-rank tensor approximations
In this short paper we bridge two seemingly unrelated sparse approximati...
research
∙
07/19/2020
A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations with Linear Couplings
Coupled matrix and tensor factorizations (CMTF) are frequently used to j...
research
∙
06/13/2020
Sparse Separable Nonnegative Matrix Factorization
We propose a new variant of nonnegative matrix factorization (NMF), comb...
research
∙
01/13/2020
Accelerating Block Coordinate Descent for Nonnegative Tensor Factorization
This paper is concerned with improving the empirical convergence speed o...
research
∙
08/27/2018
Identifiability of Low-Rank Sparse Component Analysis
Sparse component analysis (SCA) is the following problem: Given an input...
research
∙
02/14/2018
Nonnegative PARAFAC2: a flexible coupling approach
Modeling variability in tensor decomposition methods is one of the chall...
research
∙
04/03/2017