Improving the computational performance of standard GMM-based voice conversion systems used in real-time applications
- DOI
- 10.1109/icecocs.2018.8610514
- Published
- 2018-12
- Container
- 2018 International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS)
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/icecocs.2018.8610514,
title = {Improving the computational performance of standard GMM-based voice conversion systems used in real-time applications},
author = {Imen Ben Othmane and Joseph Di Martino and Kais Ouni},
year = {2018},
journal = {2018 International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS)},
doi = {10.1109/icecocs.2018.8610514},
url = {https://doi.org/10.1109/icecocs.2018.8610514}
}RIS
TY - JOUR TI - Improving the computational performance of standard GMM-based voice conversion systems used in real-time applications AU - Imen Ben Othmane AU - Joseph Di Martino AU - Kais Ouni PY - 2018 JO - 2018 International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS) DO - 10.1109/icecocs.2018.8610514 UR - https://doi.org/10.1109/icecocs.2018.8610514 ER -
APA
Othmane, I. B., Martino, J. D., & Ouni, K. (2018). Improving the computational performance of standard GMM-based voice conversion systems used in real-time applications. 2018 International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS). https://doi.org/10.1109/icecocs.2018.8610514
Source records
- crossref · retrieved 2026-09-25T07:47:26.128Z