Computational models of expressive music performance: A comprehensive and critical review
Expressive performance is an indispensable part of music making. When playing a piece,
expert performers shape various parameters (tempo, timing, dynamics, intonation …
expert performers shape various parameters (tempo, timing, dynamics, intonation …
Singing voice analysis and editing based on mutually dependent F0 estimation and source separation
This paper presents a novel framework that improves both vocal fundamental frequency (F0)
estimation and singing voice separation by making effective use of the mutual dependency …
estimation and singing voice separation by making effective use of the mutual dependency …
Singing voice separation and vocal F0 estimation based on mutual combination of robust principal component analysis and subharmonic summation
This paper presents a new method of singing voice analysis that performs mutually-
dependent singing voice separation and vocal fundamental frequency (F0) estimation. Vocal …
dependent singing voice separation and vocal fundamental frequency (F0) estimation. Vocal …
Sequential generation of singing f0 contours from musical note sequences based on wavenet
Y Wada, R Nishikimi, E Nakamura… - 2018 Asia-Pacific …, 2018 - ieeexplore.ieee.org
This paper describes a method that can generate a continuous F0 contour of a singing voice
from a monophonic sequence of musical notes (musical score) by using a deep neural …
from a monophonic sequence of musical notes (musical score) by using a deep neural …
Efficient learning of harmonic priors for pitch detection in polyphonic music
Automatic music transcription (AMT) aims to infer a latent symbolic representation of a piece
of music (piano-roll), given a corresponding observed audio recording. Transcribing …
of music (piano-roll), given a corresponding observed audio recording. Transcribing …
[PDF][PDF] A Computational Approach to Analysis and Detection of Singing Techniques
Y Yamamoto - 2024 - tsukuba.repo.nii.ac.jp
Singing voice is one of the most essential elements of music. It provides impactful emotional
expressions through melody and lyrics and has the potential to move people's hearts and …
expressions through melody and lyrics and has the potential to move people's hearts and …
Acoustically Inspired Probabilistic Time-domain Music Transcription and Source Separation.
PA Alvarado Duran - 2020 - qmro.qmul.ac.uk
Automatic music transcription (AMT) and source separation are important computational
tasks, which can help to understand, analyse and process music recordings. The main …
tasks, which can help to understand, analyse and process music recordings. The main …
[PDF][PDF] Transferring vocal expressions of a professional singer to unaccompanied singing signals
This paper presents a singing-style transfer system that enables users to attach their favorite
vocal expressions (fluctuation patterns of vocal F0 contours) extracted from polyphonic …
vocal expressions (fluctuation patterns of vocal F0 contours) extracted from polyphonic …
[PDF][PDF] Bayesian linear basis models with gaussian priors for musical expression
We present a probabilistic linear basis model for musical expression. The model is an
extension of prior work by Grachten and Widmer [Grachten and Widmer, 2012] and is a …
extension of prior work by Grachten and Widmer [Grachten and Widmer, 2012] and is a …
从高斯过程到高斯过程混合模型: 研究与展望
周亚同， 陈子一， 马尽文 - 信号处理, 2016 - signal.ejournal.org.cn
高斯过程(GP) 模型是核学**方法与贝叶斯推理相结合的典范, 现已成为机器学**领域的一个
研究热点. 作为对GP 模型的拓展, 高斯过程混合(MGP) 模型具有更**大的学**能力和适应性 …
研究热点. 作为对GP 模型的拓展, 高斯过程混合(MGP) 模型具有更**大的学**能力和适应性 …