Real to H-Space Autoencoders for Theme Identification in Telephone Conversations
- DOI
- 10.1109/taslp.2019.2950596
- Published
- 2020
- Container
- IEEE/ACM Transactions on Audio, Speech, and Language Processing
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/taslp.2019.2950596,
title = {Real to H-Space Autoencoders for Theme Identification in Telephone Conversations},
author = {Titouan Parcollet and Mohamed Morchid and Xavier Bost and Georges Linares and Renato De Mori},
year = {2020},
journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
doi = {10.1109/taslp.2019.2950596},
url = {https://doi.org/10.1109/taslp.2019.2950596}
}RIS
TY - JOUR TI - Real to H-Space Autoencoders for Theme Identification in Telephone Conversations AU - Titouan Parcollet AU - Mohamed Morchid AU - Xavier Bost AU - Georges Linares AU - Renato De Mori PY - 2020 JO - IEEE/ACM Transactions on Audio, Speech, and Language Processing DO - 10.1109/taslp.2019.2950596 UR - https://doi.org/10.1109/taslp.2019.2950596 ER -
APA
Parcollet, T., Morchid, M., Bost, X., Linares, G., & Mori, R. D. (2020). Real to H-Space Autoencoders for Theme Identification in Telephone Conversations. IEEE/ACM Transactions on Audio, Speech, and Language Processing. https://doi.org/10.1109/taslp.2019.2950596
Source records
- crossref · retrieved 2026-11-10T14:53:07.623Z