Automated speech emotion polarization for a distance education system based on orbital local binary pattern and an appropriate sub-band selection technique-Reference-Cited by-同舟云学术

Automated speech emotion polarization for a distance education system based on orbital local binary pattern and an appropriate sub-band selection technique

Published:2023-04-03 Issue:26 Volume:82 Page:40839-40856
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Tanko Dahiru,Demir Fahrettin Burak,Dogan Sengul^ORCID,Sahin Sakir Engin,Tuncer Turker

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-14648-y.pdf

Reference49 articles.

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3. Ancilin J, Milton A (2021) Improved speech emotion recognition with Mel frequency magnitude coefficient. Appl Acoust 179:108046

4. Bandela SR, Kumar TK (2021) Unsupervised feature selection and NMF de-noising for robust Speech Emotion Recognition. Appl Acoust 172:107645

5. Bastanfard A, Amirkhani D, Hasani M (n.d.) Increasing the accuracy of automatic speaker age estimation by using multiple UBMs. In: 2019 5th conference on knowledge based engineering and innovation (KBEI). IEEE, pp 592–598

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