Maximum Correntropy Linear Prediction for Voice Inverse Filtering: Theoretical Framework and Practical Implementation.

Zalazar IA, Alzamendi GA, Zañartu M, Schlotthauer G.

DOI: 10.1109/taslp.2024.3512187
Published: 2024-12-05
Container: IEEE Trans Audio Speech Lang Process (2025)
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1109/taslp.2024.3512187,
  title = {Maximum Correntropy Linear Prediction for Voice Inverse Filtering: Theoretical Framework and Practical Implementation.},
  author = {Zalazar IA and  Alzamendi GA and  Zañartu M and  Schlotthauer G.},
  year = {2025},
  journal = {IEEE Trans Audio Speech Lang Process (2025)},
  doi = {10.1109/taslp.2024.3512187},
  url = {https://doi.org/10.1109/taslp.2024.3512187}
}

RIS

TY  - JOUR
TI  - Maximum Correntropy Linear Prediction for Voice Inverse Filtering: Theoretical Framework and Practical Implementation.
AU  - Zalazar IA
AU  -  Alzamendi GA
AU  -  Zañartu M
AU  -  Schlotthauer G.
PY  - 2025
JO  - IEEE Trans Audio Speech Lang Process (2025)
DO  - 10.1109/taslp.2024.3512187
UR  - https://doi.org/10.1109/taslp.2024.3512187
ER  -

APA

IA, Z., GA, A., M, Z., & G., S. (2025). Maximum Correntropy Linear Prediction for Voice Inverse Filtering: Theoretical Framework and Practical Implementation.. IEEE Trans Audio Speech Lang Process (2025). https://doi.org/10.1109/taslp.2024.3512187

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europe-pmc · retrieved 2026-11-10T13:54:35.487Z