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Fusing traditionally extracted features with deep learned features from the speech spectrogram for anger and stress detection using convolution neural network

Crossref DOI link: https://doi.org/10.1007/s11042-022-12886-0

Published Online: 2022-04-08

Published Print: 2022-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kapoor, Shalini https://orcid.org/0000-0001-8719-997X
Kumar, Tarun
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Text and Data Mining valid from 2022-04-08

Version of Record valid from 2022-04-08
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Article History

Received: 23 February 2021

Revised: 24 January 2022

Accepted: 10 March 2022

First Online: 8 April 2022

Declarations

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: The authors have no competing interests to declare that are relevant to the content of this article.

: All authors ensure ethical approval.

: All authors have the consent to participate.

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