Ville Hautamäki
Scholar

Ville Hautamäki

Google Scholar ID: esQWyTcAAAAJ
Associate Professor, University of Eastern Finland
Speaker recognitionlanguage recognitionmachine learningcomputational biology
Citations & Impact
All-time
Citations
2,292
 
H-index
22
 
i10-index
47
 
Publications
20
 
Co-authors
57
list available
Resume (English only)
Academic Achievements
  • - Improving Numerical Stability of Normalized Mutual Information Estimator on High Dimensions, IEEE Signal Processing Letters, 2025.
  • - Inferring personal intake recommendations of phosphorous and potassium for end-stage renal failure patients by simulating with Bayesian hierarchical multivariate model, Plos ONE, 2024 (accepted).
  • - Self-Supervised Training of Speaker Encoder With Multi-Modal Diverse Positive Pairs, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 31, p. 1706-1719, 2023.
  • - GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters, IEEE Transactions on Games, vol. 15, no. 4, pp. 566-579, Dec. 2023.
  • - Optimizing Tandem Speaker Verification and Anti-Spoofing Systems, IEEE Transactions on Audio, Speech and Language Processing, Vol. 30, pp. 477-488, January, 2022.
  • - Mixed-Effect Bayesian Network Reveals Personal Effects of Nutrition, Scientific Reports, Vol. 11, No. 12016, 2021.
  • - Maximal Figure-of-Merit Framework to Detect Multi-label Phonetic Features for Spoken Language Recognition, IEEE Transactions on Audio, Speech and Language Processing, Vol. 28, pp. 682-695, January, 2020.
  • - Semi-Supervised generative Autoencoder for single cell data, Journal of Computational Biology, 2019 (accepted).
  • - On Limits of Automatic Speaker Verification: Explaining Degraded Recognizer Score Through Acoustic Changes Resulting from Voice Disguise, Journal of the Acoustic Society of America, 2019 (accepted).
  • - Hemap: An interactive online resource for characterizing molecular phenotypes across hematologic malignancies, Cancer Research, doi: 10.1158/0008-5472.CAN-18-2970, 2019.
  • - Data-driven characterization of molecular phenotypes across heterogenous sample collections, Nucleic Acids Research, doi: 10.1093/nar/gkz281, 2019.
  • - Acoustical and perceptual study of voice disguise by age modification in speaker verification, Speech Communication, Vol. 95, pp. 1-15, December 2017.
Research Experience
  • - 2022-2023: Finnish PI of the mobility project: 'Planning with Deep Graph Neural Networks' funded by Academy of Finland.
  • - 2019: PI of a MATINE funded deepfake detection project.
  • - 2018-2019: co-PI of consortium of 'Deep reinforcement learning for physical agents (DEEPEN)' project funded by Academy of Finland.
  • - 2015: PI in a one year foreign accent recognition project funded by MATINE, The Finnish Defence Forces.
  • - 2011-2014: PI in a 3-year dialect and accent recognition post-doc project funded by Academy of Finland.
Background
  • Research interests include Artificial Intelligence, Reinforcement Learning, Machine Learning, Bayesian Inference, Bioinformatics, and Speech technology in general, but particularly speaker recognition and language recognition.