Standard Yorùbá context dependent tone identification using Multi-Class Support Vector Machine (MSVM)

A.A. Sosimi, T. Adegbola, O.A. Fakinlede

Open source

DOI: 10.4314/jasem.v23i5.20
Published: 2019-06-18
Container: Journal of Applied Sciences and Environmental Management
Publisher: African Journals Online (AJOL)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.4314/jasem.v23i5.20,
  title = {Standard Yorùbá context dependent tone identification using Multi-Class Support Vector Machine (MSVM)},
  author = {A.A. Sosimi and T. Adegbola and O.A. Fakinlede},
  year = {2019},
  journal = {Journal of Applied Sciences and Environmental Management},
  doi = {10.4314/jasem.v23i5.20},
  url = {https://doi.org/10.4314/jasem.v23i5.20}
}

RIS

TY  - JOUR
TI  - Standard Yorùbá context dependent tone identification using Multi-Class Support Vector Machine (MSVM)
AU  - A.A. Sosimi
AU  - T. Adegbola
AU  - O.A. Fakinlede
PY  - 2019
JO  - Journal of Applied Sciences and Environmental Management
DO  - 10.4314/jasem.v23i5.20
UR  - https://doi.org/10.4314/jasem.v23i5.20
ER  -

APA

Sosimi, A., Adegbola, T., & Fakinlede, O. (2019). Standard Yorùbá context dependent tone identification using Multi-Class Support Vector Machine (MSVM). Journal of Applied Sciences and Environmental Management. https://doi.org/10.4314/jasem.v23i5.20

Source records

crossref · retrieved 2026-09-26T02:03:45.546Z