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Reference changes · DOI

Deep learning approaches for speech emotion recognition: state of the art and research challenges,

Published notice on a work cited in the Pith corpus. Exact quotes below. No model judges whether any citation was load-bearing.

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Correction Crossref 1 open · 1 total · 0 disputed
DOI
10.1007/s11042-020-09874-7
Notice DOI
10.1007/s11042-021-10967-0
Event date
2021-05-03
Machine twin
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01One-hop citing occurrences

Correction Open
Representation Learning with Parameterised Quantum Circuits for Advancing Speech Emotion Recognition

ref [22] · 2501.12050 · notice #9453 · dispute

Raw extraction · bibliography line

R. Jahangir, Y . W. Teh, F. Hanif, and G. Mujtaba, “Deep learning approaches for speech emotion recognition: state of the art and research challenges,” Multimedia Tools and Applications , vol. 80, no. 16, pp. 23 745–23 812, 7 2021. [Online]. Available: https://link.springer.com/article/10.1007/s11042-020-09874-7

Parser render (TeX stripped for reading; raw above is the evidence)

R. Jahangir, Y . W. Teh, F. Hanif, and G. Mujtaba, “Deep learning approaches for speech emotion recognition: state of the art and research challenges,” Multimedia Tools and Applications, vol. 80, no. 16, pp. 23 745–23 812, 7 2021. [Online]. Available: https://link.springer.com/article/10.1007/s11042-020-09874-7

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