Manu Airaksinen

According to our database, Manu Airaksinen authored at least 33 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Modeling 3D Infant Kinetics Using Adaptive Graph Convolutional Networks.

Daniel Holmberg, Manu Airaksinen, Viviana Marchi, Andrea Guzzetta, Anna Kivi, Leena Haataja, Sampsa Vanhatalo, Teemu Roos

CoRR, 2024

2023

Comparison of End-to-End Neural Network Architectures and Data Augmentation Methods for Automatic Infant Motility Assessment Using Wearable Sensors.

Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen

Sensors, April, 2023

Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors.

Einari Vaaras, Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition.

Einari Vaaras, Manu Airaksinen, Okko Räsänen

Proceedings of the Interspeech 2022, 2022

2019

Estimation of the glottal source from coded telephone speech using deep neural networks.

N. P. Narendra, Manu Airaksinen, Brad H. Story, Paavo Alku

Speech Commun., 2019

Normal-to-Lombard adaptation of speech synthesis using long short-term memory recurrent neural networks.

Bajibabu Bollepalli, Lauri Juvela, Manu Airaksinen, Cassia Valentini-Botinhao, Paavo Alku

Speech Commun., 2019

OPENGLOT - An open environment for the evaluation of glottal inverse filtering.

Paavo Alku, Tiina Murtola, Jarmo Malinen, Juha Kuortti, Brad H. Story, Manu Airaksinen, Mika Salmi, Erkki Vilkman, Ahmed Geneid

Speech Commun., 2019

Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors.

Manu Airaksinen, Okko Räsänen, Elina Ilén, Taru Häyrinen, Anna Kivi, Viviana Marchi, Anastasia Gallen, Sonja Blom, Anni Varhe, Nico Kaartinen, Leena Haataja, Sampsa Vanhatalo

CoRR, 2019

Data Augmentation Strategies for Neural Network F0 Estimation.

Manu Airaksinen, Lauri Juvela, Paavo Alku, Okko Räsänen

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

A Comparison Between STRAIGHT, Glottal, and Sinusoidal Vocoding in Statistical Parametric Speech Synthesis.

Manu Airaksinen, Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku

IEEE ACM Trans. Audio Speech Lang. Process., 2018

Speaker-independent Raw Waveform Model for Glottal Excitation.

Lauri Juvela, Vassilis Tsiaras, Bajibabu Bollepalli, Manu Airaksinen, Junichi Yamagishi, Paavo Alku

Proceedings of the Interspeech 2018, 2018

Time-regularized Linear Prediction for Noise-robust Extraction of the Spectral Envelope of Speech.

Manu Airaksinen, Lauri Juvela, Okko Räsänen, Paavo Alku

Proceedings of the Interspeech 2018, 2018

Speech Waveform Synthesis from MFCC Sequences with Generative Adversarial Networks.

Lauri Juvela, Bajibabu Bollepalli, Xin Wang, Hirokazu Kameoka, Manu Airaksinen, Junichi Yamagishi, Paavo Alku

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Quadratic Programming Approach to Glottal Inverse Filtering by Joint Norm-1 and Norm-2 Optimization.

Manu Airaksinen, Tom Bäckström, Paavo Alku

IEEE ACM Trans. Audio Speech Lang. Process., 2017

Glottal Vocoding With Frequency-Warped Time-Weighted Linear Prediction.

Manu Airaksinen, Bajibabu Bollepalli, Jouni Pohjalainen, Paavo Alku

IEEE Signal Process. Lett., 2017

Glottal Source Estimation from Coded Telephone Speech Using a Deep Neural Network.

N. P. Narendra, Manu Airaksinen, Paavo Alku

Proceedings of the Interspeech 2017, 2017

Effects of Training Data Variety in Generating Glottal Pulses from Acoustic Features with DNNs.

Manu Airaksinen, Paavo Alku

Proceedings of the Interspeech 2017, 2017

Lombard speech synthesis using long short-term memory recurrent neural networks.

Bajibabu Bollepalli, Manu Airaksinen, Paavo Alku

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Frequency-warped time-weighted linear prediction for glottal vocoding.

Manu Airaksinen, Bajibabu Bollepalli, Jouni Pohjalainen, Paavo Alku

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Using Text and Acoustic Features in Predicting Glottal Excitation Waveforms for Parametric Speech Synthesis with Recurrent Neural Networks.

Lauri Juvela, Xin Wang, Shinji Takaki, Manu Airaksinen, Junichi Yamagishi, Paavo Alku

Proceedings of the Interspeech 2016, 2016

Majorisation-Minimisation Based Optimisation of the Composite Autoregressive System with Application to Glottal Inverse Filtering.

Lauri Juvela, Hirokazu Kameoka, Manu Airaksinen, Junichi Yamagishi, Paavo Alku

Proceedings of the Interspeech 2016, 2016

Automatic Glottal Inverse Filtering with Non-Negative Matrix Factorization.

Manu Airaksinen, Lauri Juvela, Tom Bäckström, Paavo Alku

Proceedings of the Interspeech 2016, 2016

GlottDNN - A Full-Band Glottal Vocoder for Statistical Parametric Speech Synthesis.

Manu Airaksinen, Bajibabu Bollepalli, Lauri Juvela, Zhizheng Wu, Simon King, Paavo Alku

Proceedings of the Interspeech 2016, 2016

High-pitched excitation generation for glottal vocoding in statistical parametric speech synthesis using a deep neural network.

Lauri Juvela, Bajibabu Bollepalli, Manu Airaksinen, Paavo Alku

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Quasi closed phase analysis of speech signals using time varying weighted linear prediction for accurate formant tracking.

Dhananjaya N. Gowda, Manu Airaksinen, Paavo Alku

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Glottal inverse filtering based on quadratic programming.

Manu Airaksinen, Tom Bäckström, Paavo Alku

Proceedings of the INTERSPEECH 2015, 2015

Noise robust estimation of the voice source using a deep neural network.

Manu Airaksinen, Tuomo Raitio, Paavo Alku

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Quasi Closed Phase Glottal Inverse Filtering Analysis With Weighted Linear Prediction.

Manu Airaksinen, Tuomo Raitio, Brad H. Story, Paavo Alku

IEEE ACM Trans. Audio Speech Lang. Process., 2014

Automatic glottal inverse filtering with the Markov chain Monte Carlo method.

Harri Auvinen, Tuomo Raitio, Manu Airaksinen, Samuli Siltanen, Brad H. Story, Paavo Alku

Comput. Speech Lang., 2014

Automatic estimation of the lip radiation effect in glottal inverse filtering.

Manu Airaksinen, Tom Bäckström, Paavo Alku

Proceedings of the INTERSPEECH 2014, 2014

Parameterization of the glottal source with the phase plane plot.

Manu Airaksinen, Paavo Alku

Proceedings of the INTERSPEECH 2014, 2014

2013

Analysis and synthesis of shouted speech.

Tuomo Raitio, Antti Suni, Jouni Pohjalainen, Manu Airaksinen, Martti Vainio, Paavo Alku

Proceedings of the INTERSPEECH 2013, 2013

Quasi closed phase analysis for glottal inverse filtering.

Manu Airaksinen, Brad H. Story, Paavo Alku

Proceedings of the INTERSPEECH 2013, 2013