Paavo Alku

Professori
Professori
T412 Department of Information and Communications Engineering

Paavo Alku received his M.Sc., Lic.Tech., and Dr.Sc.(Tech) degrees from Helsinki University of Technology, Espoo, Finland, in 1986, 1988, and 1992, respectively. He was an assistant professor at the Asian Institute of Technology, Bangkok, Thailand, in 1993, and an assistant professor and professor at the University of Turku, Finland, from 1994 to 1999. He is currently a professor of speech communication technology at Aalto University, Espoo, Finland. His research interests include analysis and parameterization of speech production, statistical parametric speech synthesis, spectral modelling of speech, speech-based biomarking of human health, and cerebral processing of speech. He has published more than 200 peer-reviewed journal articles and more than 200 peer-reviewed conference papers. He is an Associate Editor of J. Acoust. Soc. Am. He served as an Academy Professor assigned by the Academy of Finland in 2015-2019. He is a Fellow of the IEEE and a Fellow of ISCA.

Full researcher profile
https://research.aalto.fi/...
Sähköposti
paavo.alku@aalto.fi
Puhelinnumero
+358504003048

Palkinnot

ISCA Fellow

Nominated to a Fellow by ISCA (International Speech Communication Association)
Award or honor granted for academic or artistic career Department of Signal Processing and Acoustics Apr 2020

IEEE Fellow

Award or honor granted for academic or artistic career Department of Signal Processing and Acoustics Jan 2020

Academy Professor

Award or honor granted for academic or artistic career Department of Signal Processing and Acoustics Jan 2015

ISCA Award for the best student paper of Interspeech 2016

ISCA Award for the best student paper of Interspeech 2016: Manu Airaksinen, Bajibabu Bollepalli, Lauri Juvela, Zhizheng Wu, Simon King, Paavo Alku: “GlottDNN - A full-band glottal vocoder for statistical parametric speech synthesis”.
Award or honor granted for a specific work Department of Signal Processing and Acoustics Jan 2016

IEEE Award for the best student paper in ICASSP’16

IEEE Award for the best student paper in ICASSP’16 (IEEE Int. Conference on Acoustics, Speech, and Signal Processing): Lauri Juvela, Bajibabu Bollepalli, Manu Airaksinen, Paavo Alku, “High-pitched excitation generation for glottal vocoding in statistical parametric speech synthesis using a deep neural network”.
Award or honor granted for a specific work Department of Signal Processing and Acoustics Jan 2016

ISCA Award for the best student paper of Interspeech 2011

ISCA Award for the best student paper of Interspeech 2011: Hannu Pulakka, Ulpu Remes, Santeri Yrttiaho, Kalle Palomäki, Mikko Kurimo, and Paavo Alku, “Low-Frequency Bandwidth Extension of Telephone Speech Using Sinusoidal Synthesis and Gaussian Mixture Model”.
Award or honor granted for a specific work Department of Signal Processing and Acoustics Jan 2011

Tutkimusryhmät

  • Speech Communication Technology

Julkaisut

Introduction to Speech Processing v2.01

Tom Bäckström, Okko Räsänen, Abraham Zewoudie, Pablo Perez Zarazaga, Liisa Koivusalo, Sneha Das, Esteban Gómez Mellado, Mariem Bouafif, Daniel Ramos, Sudarsana Reddy Kadiri, Paavo Alku, Mohammad Hassan Vali 2025

Formant Tracking by Combining Deep Neural Network and Linear Prediction

Sudarsana Kadiri, Kevin Huang, Christina Hagedorn, Dani Byrd, Paavo Alku, Shrikanth Narayanan 2025 IEEE Open journal of Signal Processing

Automatic classification of vocal intensity categories from amplitude-normalized speech signals by comparing acoustic features and classifier models

Manila Kodali, Luna Ansari, Sudarsana Kadiri, Shrikanth Narayanan, Paavo Alku 2025 Speech Communication

The machine learning-based prediction of the sound pressure level from pathological and healthy speech signals

Manila Kodali, Sudarsana Kadiri, Shrikanth Narayanan, Paavo Alku 2025 Journal of the Acoustical Society of America

Wavelet scattering network features for intensity category classification and prediction of SPL from speech

Manila Kodali, Sudarsana Kadiri, Shrikanth Narayanan, Paavo Alku 2025 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’25)

Automatic Classification of Strain in the Singing Voice using Machine Learning

Yuanyuan Liu, Mittapalle Kiran Reddy, Madhu Yagnavajjula, Okko Räsänen, Paavo Alku, Tero Ikävalko, Tua Hakanpää, Aleksi Öyry, Anne-Maria Laukkanen 2025 Journal of Voice

Automatic Detection of Parkinsonian Speech using Wavelet Scattering Features

Kiran Mittapalle, Paavo Alku 2025 JASA Express Letters

Towards robust heart failure detection in digital telephony environments by utilizing transformer-based codec inversion

Saska Tirronen, Farhad Javanmardi, Hilla Pohjalainen, Sudarsana Reddy Kadiri, Kiran Reddy Mittapalle, Pyry Helkkula, Kasimir Kaitue, Mikko Minkkinen, Heli Tolppanen, Tuomo Nieminen, Paavo Alku 2025 Speech Communication

Effects of spoken phones and patient characteristics on respiratory aerosol emission

Anna Tuhkuri Matvejeff, Sampo Saari, Lotta-Maria Oksanen, Paavo Heikkilä, Ville Silvonen, Jani Hakala, Topi Rönkkö, Aimo Taipale, Enni Sanmark, Anne-Maria Laukkanen, Paavo Alku, Ahmed Geneid, Ville Vartiainen 2025 Journal of Voice

Systematic review of respiratory particle measurement studies and a new method for human particle emission measurement during breathing, coughing, and voice production

Anna Tuhkuri Matvejeff, Ville Silvonen, Paavo Heikkilä, Enni Sanmark, Jani Hakala, Niina Kuittinen, Ahmed Geneid, Anne-Maria Laukkanen, Paavo Alku, Lotta-Maria Oksanen, Topi Rönkkö, Aimo Taipale, Sampo Saari 2025 Journal of Aerosol Science