Výsledky vyhledávání - "Tristan Carsault"

Semi-Supervised Neural Chord Estimation Based on a Variational Autoencoder With Latent Chord Labels and Features

Autor: Yiming Wu, Eita Nakamura, Tristan Carsault, Kazuyoshi Yoshii

Publikováno v: IEEE/ACM Transactions on Audio, Speech, and Language Processing. 28:2956-2966

This paper describes a statistically-principled semi-supervised method of automatic chord estimation (ACE) that can make effective use of music signals regardless of the availability of chord annotations. The typical approach to ACE is to train a dee

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee8ba0ce15cb66f2b61bee900e4c6625
https://doi.org/10.1109/taslp.2020.3035001

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MULTI-STEP CHORD SEQUENCE PREDICTION BASED ON AGGREGATED MULTI-SCALE ENCODER-DECODER NETWORKS

Autor: Eita Nakamura, Kazuyoshi Yoshii, Philippe Esling, Tristan Carsault, Jérôme Nika, Andrew McLeod

Publikováno v: MLSP 2019
MLSP 2019, Oct 2019, Pittsburgh, United States
MLSP

International audience; This paper studies the prediction of chord progressions for jazz music by relying on machine learning models. The motivation of our study comes from the recent success of neu-ral networks for performing automatic music composi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6719448926eb5d64e75d3c7c9fd761a
https://hal.archives-ouvertes.fr/hal-02364054/document

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Automatic Chord Estimation Based on a Frame-wise Convolutional Recurrent Neural Network with Non-Aligned Annotations

Autor: Tristan Carsault, Kazuyoshi Yoshii, Yiming Wu

Publikováno v: Eusipco
Eusipco, Sep 2019, Coruña, Spain
EUSIPCO

International audience; This paper describes a weakly-supervised approach to Automatic Chord Estimation (ACE) task that aims to estimate a sequence of chords from a given music audio signal at the frame level, under a realistic condition that only no

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f183cb209fe3e132ac35c3dfdcba463
https://hal.archives-ouvertes.fr/hal-02467436/document

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Combining Real-Time Extraction and Prediction of Musical Chord Progressions for Creative Applications

Autor: Tristan Carsault, Gérard Assayag, Jérôme Nika, Philippe Esling

Publikováno v: Electronics, MDPI, 2021, 10 (21), pp.2634.
Electronics
Electronics, MDPI, 2021, 10 (21), pp.2634. ⟨10.3390/electronics10212634⟩
Volume 10
Issue 21
Electronics, Vol 10, Iss 2634, p 2634 (2021)

International audience; Recently, the field of musical co-creativity has gained some momentum. In this context, our goal is twofold: to develop an intelligent listening and predictive module of chord sequences, and to propose an adapted evaluation of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08f223a198922a4a669e126a7e119f82

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