Distress Recognition from Speech Analysis: A Pairwise Association Rules-Based Approach
- 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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Cite this work
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
Source records
- crossref · retrieved 2026-09-27T02:19:16.676Z