Electrophysiological Correlates of Vocal Emotional Processing in Musicians and Non-Musicians
Brain Sciences, 2023 Musicians outperform non-musicians in vocal emotion recognition, but the underlying mechanisms are still debated. Behavioral measures highlight the importance of auditory sensitivity towards emotional voice cues.
Christine Nussbaum +2 more
doaj +1 more source
Review: Robert Reigle and Paul Whitehead (Editors): Spectral World Musics: Proceedings of the Istanbul Spectral Music Conference [PDF]
, 2010 This article reviews the book “Spectral World Musics: Proceedings of the Istanbul Spectral Music Conference”, edited by Robert Reigle and Paul ...
Whalley, Ian
core +2 more sources
A Study of Piano Timbre Teaching in the Context of Artificial Intelligence Interaction
Computational Intelligence and Neuroscience, 2021 This paper provides an in-depth analysis and research on piano timbre teaching in the context of artificial intelligence interaction, a bold vision of piano teaching, proposes a feasible solution in terms of teaching modules in intelligent piano teaching
Cui Wei
semanticscholar +1 more source
Rendering Binaural Room Impulse Responses from Spherical Microphone Array Recordings Using Timbre Correction [PDF]
, 2014 The technique of rendering binaural room impulse responses from spatial data captured by spherical microphone arrays has been recently proposed and investigated perceptually.
Rafaely, Boaz +2 more
core +1 more source
Transformasi Pitch Suara Manusia Menggunakan Metode PSOLA
Jurnal Elkomika, 2014 ABSTRAKKemampuan pengubahan suara yang dilakukan Dubber untuk beragam bentuk suara menjadi perhatian khusus dengan melakukan rekayasa suara, di dalam perkembangan teknologi di kenal sebuah teknikpitch shifting yang digunakan untuk mengubah suara manusia ...
SUSETYO BAGAS BHASKORO +2 more
doaj +1 more source
Parallel earcons: reducing the length of audio messages [PDF]
, 1995 This paper describes a method of presenting structured audio messages, earcons, in parallel so that they take less time to play and can better keep pace with interactions in a human-computer interface.
Brewster, S.A. +2 more
core +3 more sources
Timbre analysis of music audio signals with convolutional neural networks [PDF]
European Signal Processing Conference, 2017 The focus of this work is to study how to efficiently tailor Convolutional Neural Networks (CNNs) towards learning timbre representations from log-mel magnitude spectrograms. We first review the trends when designing CNN architectures.
Jordi Pons +4 more
semanticscholar +1 more source
Learning Timbre Analogies from Unlabelled Data by Multivariate Tree Regression [PDF]
, 2011 This is the Author's Original Manuscript of an article whose final and definitive form, the Version of Record, has been published in the Journal of New Music Research, November 2011, copyright Taylor & Francis.
Aucouturier J.-J. +7 more
core +1 more source
Enhancing timbre model using MFCC and its time derivatives for music similarity estimation
, 2012 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 Kullback-Leibler divergence.
de leon, Franz, Martinez, Kirk
core +1 more source
The Physicist's Guide to the Orchestra [PDF]
, 2000 An experimental study of strings, woodwinds (organ pipe, flute, clarinet, saxophone and recorder), and the voice was undertaken to illustrate the basic principles of sound production in music instruments.
Ayers R D +25 more
core +2 more sources