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/...

Contact information

Phone number
+358504003048

Honors and awards

ISCA Fellow

Nominated to a Fellow by ISCA (International Speech Communication Association)
Award or honor granted for academic or artistic career Dept Signal Process and Acoust Apr 2020

IEEE Fellow

Award or honor granted for academic or artistic career Dept Signal Process and Acoust Jan 2020

Academy Professor

Award or honor granted for academic or artistic career 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”.
Award or honor granted for a specific work 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”.
Award or honor granted for a specific work 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”.
Award or honor granted for a specific work Dept Signal Process and Acoust Jan 2011

Research groups

  • Speech Communication Technology

Publications

Refining a Deep Learning-based Formant Tracker using Linear Prediction Methods

Paavo Alku, Sudarsana Kadiri, Dhananjaya Gowda 2023 Computer Speech and Language

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 2023 Journal of Monolingual and Bilingual Speech

A Comparison of Data Augmentation Methods in Voice Pathology Detection

Farhad Javanmardi, Sudarsana Kadiri, Paavo Alku 2023 Computer Speech and Language

WAV2VEC-based detection and severity level classification of dysarthria from speech

Farhad Javanmardi, Saska Tirronen, Manila Kodali, Sudarsana Kadiri, Paavo Alku 2023 Proc. IEEE Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP’23)

Analysis of Instantaneous Frequency Components of Speech Signals for Epoch Extraction

Sudarsana Kadiri, Paavo Alku, Bayya Yegnanarayana 2023 Computer Speech and Language

Severity classification of Parkinson's disease from speech using single frequency filtering-based features

Sudarsana Kadiri, Manila Kodali, Paavo Alku 2023 Proceedings of Interspeech'23

Automatic classification of vocal intensity category from speech

Manila Kodali, Sudarsana Kadiri, Laura Laaksonen, Paavo Alku 2023 Proc. IEEE Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP’23)

Classification of vocal intensity category from speech using the wav2vec2 and whisper embeddings

Manila Kodali, Sudarsana Kadiri, Paavo Alku 2023 Proceedings of Interspeech'23