Distress Recognition from Speech Analysis: A Pairwise Association Rules-Based Approach

Daniel Isoso Machanje, Joseph Onderi Orero, Christophe Marsala

Open source

DOI
10.1109/ssci44817.2019.9002972
Published
2019-12
Container
2019 IEEE Symposium Series on Computational Intelligence (SSCI)
Publisher
IEEE
Open access
unknown

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BibTeX

@article{allodium:10.1109/ssci44817.2019.9002972,
  title = {Distress Recognition from Speech Analysis: A Pairwise Association Rules-Based Approach},
  author = {Daniel Isoso Machanje and Joseph Onderi Orero and Christophe Marsala},
  year = {2019},
  journal = {2019 IEEE Symposium Series on Computational Intelligence (SSCI)},
  doi = {10.1109/ssci44817.2019.9002972},
  url = {https://doi.org/10.1109/ssci44817.2019.9002972}
}

RIS

TY  - JOUR
TI  - Distress Recognition from Speech Analysis: A Pairwise Association Rules-Based Approach
AU  - Daniel Isoso Machanje
AU  - Joseph Onderi Orero
AU  - Christophe Marsala
PY  - 2019
JO  - 2019 IEEE Symposium Series on Computational Intelligence (SSCI)
DO  - 10.1109/ssci44817.2019.9002972
UR  - https://doi.org/10.1109/ssci44817.2019.9002972
ER  - 

APA

Machanje, D. I., Orero, J. O., & Marsala, C. (2019). Distress Recognition from Speech Analysis: A Pairwise Association Rules-Based Approach. 2019 IEEE Symposium Series on Computational Intelligence (SSCI). https://doi.org/10.1109/ssci44817.2019.9002972

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