Manu Airaksinen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 30

Top Topics

Linear Prediction

Speech Synthesis

Quadratic Program

Top Venues

Publications

Daniel Holmberg, Manu Airaksinen, Viviana Marchi, Andrea Guzzetta, Anna Kivi, Leena Haataja, Sampsa Vanhatalo, Teemu Roos
Modeling 3D Infant Kinetics Using Adaptive Graph Convolutional Networks. CoRR (2024)
Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen
Comparison of End-to-End Neural Network Architectures and Data Augmentation Methods for Automatic Infant Motility Assessment Using Wearable Sensors. Sensors 23 (7) (2023)
Einari Vaaras, Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen
Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors. EMBC (2023)
Einari Vaaras, Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen
Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors. CoRR (2023)
Einari Vaaras, Manu Airaksinen, Okko Räsänen
Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition. CoRR (2022)
Einari Vaaras, Manu Airaksinen, Okko Räsänen
Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition. INTERSPEECH (2022)
Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen
Comparison of end-to-end neural network architectures and data augmentation methods for automatic infant motility assessment using wearable sensors. CoRR (2021)
Manu Airaksinen, Lauri Juvela, Paavo Alku, Okko Räsänen
Data Augmentation Strategies for Neural Network F0 Estimation. ICASSP (2019)
Manu Airaksinen, Okko Räsänen, Elina Ilén, Taru Häyrinen, Anna Kivi, Viviana Marchi, Anastasia Gallen, Sonja Blom, Anni Varhe, Nico Kaartinen, Leena Haataja, Sampsa Vanhatalo
Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors. CoRR (2019)
N. P. Narendra, Manu Airaksinen, Brad H. Story, Paavo Alku
Estimation of the glottal source from coded telephone speech using deep neural networks. Speech Commun. 106 (2019)
Paavo Alku, Tiina Murtola, Jarmo Malinen, Juha Kuortti, Brad H. Story, Manu Airaksinen, Mika Salmi, Erkki Vilkman, Ahmed Geneid
OPENGLOT - An open environment for the evaluation of glottal inverse filtering. Speech Commun. 107 (2019)
Bajibabu Bollepalli, Lauri Juvela, Manu Airaksinen, Cassia Valentini-Botinhao, Paavo Alku
Normal-to-Lombard adaptation of speech synthesis using long short-term memory recurrent neural networks. Speech Commun. 110 (2019)
Manu Airaksinen, Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku
A Comparison Between STRAIGHT, Glottal, and Sinusoidal Vocoding in Statistical Parametric Speech Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. 26 (9) (2018)
Lauri Juvela, Bajibabu Bollepalli, Xin Wang, Hirokazu Kameoka, Manu Airaksinen, Junichi Yamagishi, Paavo Alku
Speech Waveform Synthesis from MFCC Sequences with Generative Adversarial Networks. ICASSP (2018)
Lauri Juvela, Vassilis Tsiaras, Bajibabu Bollepalli, Manu Airaksinen, Junichi Yamagishi, Paavo Alku
Speaker-independent raw waveform model for glottal excitation. CoRR (2018)
Lauri Juvela, Vassilis Tsiaras, Bajibabu Bollepalli, Manu Airaksinen, Junichi Yamagishi, Paavo Alku
Speaker-independent Raw Waveform Model for Glottal Excitation. INTERSPEECH (2018)
Lauri Juvela, Bajibabu Bollepalli, Xin Wang, Hirokazu Kameoka, Manu Airaksinen, Junichi Yamagishi, Paavo Alku
Speech waveform synthesis from MFCC sequences with generative adversarial networks. CoRR (2018)
Manu Airaksinen, Lauri Juvela, Okko Räsänen, Paavo Alku
Time-regularized Linear Prediction for Noise-robust Extraction of the Spectral Envelope of Speech. INTERSPEECH (2018)
N. P. Narendra, Manu Airaksinen, Paavo Alku
Glottal Source Estimation from Coded Telephone Speech Using a Deep Neural Network. INTERSPEECH (2017)
Bajibabu Bollepalli, Manu Airaksinen, Paavo Alku
Lombard speech synthesis using long short-term memory recurrent neural networks. ICASSP (2017)
Manu Airaksinen, Tomas Bäckström, Paavo Alku
Quadratic Programming Approach to Glottal Inverse Filtering by Joint Norm-1 and Norm-2 Optimization. IEEE ACM Trans. Audio Speech Lang. Process. 25 (5) (2017)
Manu Airaksinen, Bajibabu Bollepalli, Jouni Pohjalainen, Paavo Alku
Glottal Vocoding With Frequency-Warped Time-Weighted Linear Prediction. IEEE Signal Process. Lett. 24 (4) (2017)
Manu Airaksinen, Paavo Alku
Effects of Training Data Variety in Generating Glottal Pulses from Acoustic Features with DNNs. INTERSPEECH (2017)
Manu Airaksinen, Bajibabu Bollepalli, Jouni Pohjalainen, Paavo Alku
Frequency-warped time-weighted linear prediction for glottal vocoding. ICASSP (2017)
Manu Airaksinen, Bajibabu Bollepalli, Lauri Juvela, Zhizheng Wu, Simon King, Paavo Alku
GlottDNN - A Full-Band Glottal Vocoder for Statistical Parametric Speech Synthesis. INTERSPEECH (2016)
Dhananjaya N. Gowda, Manu Airaksinen, Paavo Alku
Quasi closed phase analysis of speech signals using time varying weighted linear prediction for accurate formant tracking. ICASSP (2016)
Manu Airaksinen, Lauri Juvela, Tom Bäckström, Paavo Alku
Automatic Glottal Inverse Filtering with Non-Negative Matrix Factorization. INTERSPEECH (2016)
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. ICASSP (2016)
Lauri Juvela, Xin Wang, Shinji Takaki, Manu Airaksinen, Junichi Yamagishi, Paavo Alku
Using Text and Acoustic Features in Predicting Glottal Excitation Waveforms for Parametric Speech Synthesis with Recurrent Neural Networks. INTERSPEECH (2016)
Lauri Juvela, Hirokazu Kameoka, Manu Airaksinen, Junichi Yamagishi, Paavo Alku
Majorisation-Minimisation Based Optimisation of the Composite Autoregressive System with Application to Glottal Inverse Filtering. INTERSPEECH (2016)
Manu Airaksinen, Tuomo Raitio, Paavo Alku
Noise robust estimation of the voice source using a deep neural network. ICASSP (2015)
Manu Airaksinen, Tom Bäckström, Paavo Alku
Glottal inverse filtering based on quadratic programming. INTERSPEECH (2015)
Harri Auvinen, Tuomo Raitio, Manu Airaksinen, Samuli Siltanen, Brad H. Story, Paavo Alku
Automatic glottal inverse filtering with the Markov chain Monte Carlo method. Comput. Speech Lang. 28 (5) (2014)
Manu Airaksinen, Tuomo Raitio, Brad H. Story, Paavo Alku
Quasi Closed Phase Glottal Inverse Filtering Analysis With Weighted Linear Prediction. IEEE ACM Trans. Audio Speech Lang. Process. 22 (3) (2014)
Manu Airaksinen, Paavo Alku
Parameterization of the glottal source with the phase plane plot. INTERSPEECH (2014)
Manu Airaksinen, Tom Bäckström, Paavo Alku
Automatic estimation of the lip radiation effect in glottal inverse filtering. INTERSPEECH (2014)
Manu Airaksinen, Brad H. Story, Paavo Alku
Quasi closed phase analysis for glottal inverse filtering. INTERSPEECH (2013)
Tuomo Raitio, Antti Suni, Jouni Pohjalainen, Manu Airaksinen, Martti Vainio, Paavo Alku
Analysis and synthesis of shouted speech. INTERSPEECH (2013)