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/...
Telefonnummer
+358504003048

Utmärkelser

ISCA Fellow

Nominated to a Fellow by ISCA (International Speech Communication Association)
Palkinto tai huomionosoitus urasta Dept Signal Process and Acoust Apr 2020

IEEE Fellow

Palkinto tai huomionosoitus urasta Dept Signal Process and Acoust Jan 2020

Academy Professor

Palkinto tai huomionosoitus urasta Dept Signal Process and Acoust 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”.
Palkinto tai huomionosoitus tuotoksesta Dept Signal Process and Acoust 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”.
Palkinto tai huomionosoitus tuotoksesta Dept Signal Process and Acoust 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”.
Palkinto tai huomionosoitus tuotoksesta Dept Signal Process and Acoust Jan 2011

Forskningsgrupp

  • Speech Communication Technology

Publikationer

AVID: A speech database for machine learning studies on vocal intensity

Paavo Alku, Manila Kodali, Laura Laaksonen, Sudarsana Kadiri 2024 Speech Communication

Listen-and-repeat training of non-native vowel quality: Preliminary findings from speakers of Namibian languages

Katja Haapanen, Antti Saloranta, Kimmo U. Peltola, Henna Tamminen, Lannie Uwu- khaeb, Paavo Alku, Maija S. Peltola 2024 Journal of Monolingual and Bilingual Speech

Exploring the Impact of Fine-Tuning the Wav2vec2 Model in Database-Independent Detection of Dysarthric Speech

Farhad Javanmardi, Sudarsana Kadiri, Paavo Alku 2024 IEEE Journal of Biomedical and Health Informatics

Pre-trained Models for Detection and Severity Level Classification of Dysarthria from Speech

Farhad Javanmardi, Sudarsana Kadiri, Paavo Alku 2024 Speech Communication

Formant Tracking by Combining Deep Neural Network and Linear Prediction

Sudarsana Kadiri, Kevin Huang, Christina Hagedorn, Dani Byrd, Paavo Alku, Shrikanth Narayanan 2024 IEEE Open journal of Signal Processing

Fine-tuning of pre-trained models for classification of vocal intensity category from speech signals

Manila Kodali, Sudarsana Kadiri, Paavo Alku 2024 Interspeech 2024

Can a Machine Distinguish High and Low Amount of Social Creak in Speech?

Anne-Maria Laukkanen, Sudarsana Kadiri, Shrikanth Narayanan, Paavo Alku 2024 Journal of Voice