Automatic classification of laryngeal mechanisms in singing based on the audio signal-Reference-Cited by-同舟云学术

Automatic classification of laryngeal mechanisms in singing based on the audio signal

Published:2017 Issue: Volume:112 Page:2204-2212
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Lacerda Everton B.,Mello Carlos A.B.

Publisher

Elsevier BV

Subject

General Engineering

Reference29 articles.

1. Music, Physics and Engineering;Olson,1967

2. An adaptation framework for QBH-Based music retrieval Knowledge-Based Intelligent Information and Engineering Systems KES 2007;Rho,2007

3. Effective content-based music retrieval with pattern-based relevance feedback Knowledge-Based and Intelligent Information and Engineering Systems;Su,2011

4. Automatic music transcription: challenges and future directions;Benetos;Journal of Intelligent Information Systems,2013

5. Automatic speech recognition: history, methods and challenges;O’Shaughnessy;Pattern Recognition,2008

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of Closed Quotient During Vocal Phonation using GRU-type Neural Network with Audio Signals;Journal of information and communication convergence engineering;2024-06-30

2. Time-frequency visual representation and texture features for audio applications: a comprehensive review, recent trends, and challenges;Multimedia Tools and Applications;2023-03-16

3. Improving Pitch Extraction Performance through Laryngeal Mechanisms Background;2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP);2018-06