Single‐signal entity approach for sung word recognition with artificial neural network and time–frequency audio features-Reference-Cited by-同舟云学术

Single‐signal entity approach for sung word recognition with artificial neural network and time–frequency audio features

Published:2017-09 Issue:12 Volume:2017 Page:634-645
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Khunarsa Peerapol¹

Affiliation:

1. Faculty of Science and TechnologyUttaradit Rajabhat UniversityUttaraditThailand

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2017.0210

Reference63 articles.

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3. Automatic chord estimation from audio: a review of the state of the art’;McVicar M.;IEEE/ACM Trans. Audio Speech Lang. Process.,2014

4. A systematic evaluation of the bag‐of‐frames representation for music information retrieval’;Su L.;IEEE Trans. Multimed.,2014

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