P
Paavo Alku
Researcher at Aalto University
Publications - 452
Citations - 14648
Paavo Alku is an academic researcher from Aalto University. The author has contributed to research in topics: Speech processing & Linear prediction. The author has an hindex of 59, co-authored 433 publications receiving 13272 citations. Previous affiliations of Paavo Alku include Helsinki University of Technology & Johns Hopkins University Applied Physics Laboratory.
Papers
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Journal ArticleDOI
Regularized All-Pole Models for Speaker Verification Under Noisy Environments
TL;DR: Experiments on the NIST 2002 corpus indicate that regularized all-pole methods (RLP, RWLP and RSWLP) yield large improvement on recognition accuracy under additive factory and babble noise conditions in terms of both equal error rate (EER) and minimum detection cost function (MinDCF).
Proceedings Article
One-delayed-mass model for efficient synthesis of glottal flow
TL;DR: A lumped physical model of the glottal source is presented, where vocal folds are described as single masses, but vertical phase differences between upper and lower margins of the folds are taken into account by appropriately describing the non-linear interaction of the mechanical model with aerodynamics.
Journal ArticleDOI
Detection of Specific Language Impairment in Children Using Glottal Source Features
TL;DR: The overall results indicate that the glottal features when used in combination with MFCC feature set provides the best performance with the FFNN classifier in the speaker-independent scenario.
The GlottHMM Entry for Blizzard Challenge 2011: Utilizing Source Unit Selection in HMM-Based Speech Synthesis for Improved Excitation Generation
TL;DR: The GlottHMM as discussed by the authors is a hidden Markov model (HMM) based speech synthesis system that utilizes Glottal inverse filtering for separating the vocal tract and the glottal source from speech signal and models both components individually.
Journal ArticleDOI
Pilot study on acute voice and throat symptoms related to exposure to organic dust: preliminary findings from a provocation test.
Ahmed Geneid,Marjo Rönkkö,Liisa Airaksinen,Risto Voutilainen,Elina Toskala,Paavo Alku,Erkki Vilkman +6 more
TL;DR: The results suggest that the larynx reacts to organic dust with symptoms that are felt by the patient rather than heard by the voice clinician.