Quasi closed phase analysis for glottal inverse filtering. - Manu Airaksinen; Brad H. Story; Paavo Alku (INTERSPEECH, 2013)

Analysis and synthesis of shouted speech. - Tuomo Raitio; Antti Suni; Jouni Pohjalainen; Manu Airaksinen; Martti Vainio; Paavo Alku (INTERSPEECH, 2013)

Parameterization of the glottal source with the phase plane plot. - Manu Airaksinen; Paavo Alku (INTERSPEECH, 2014)

Automatic estimation of the lip radiation effect in glottal inverse filtering. - Manu Airaksinen; Tom Bäckström; Paavo Alku (INTERSPEECH, 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)

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)

Noise robust estimation of the voice source using a deep neural network. - Manu Airaksinen; Tuomo Raitio; Paavo Alku (ICASSP, 2015)

Glottal inverse filtering based on quadratic programming. - Manu Airaksinen; Tom Bäckström; Paavo Alku (INTERSPEECH, 2015)

The NII speech synthesis entry for Blizzard Challenge 2016. - Lauri Juvela; Xin Wang 037; Shinji Takaki; Sangjin Kim; Manu Airaksinen; Junichi Yamagishi (Blizzard Challenge, 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 (ICASSP, 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 (ICASSP, 2016)

GlottDNN - A Full-Band Glottal Vocoder for Statistical Parametric Speech Synthesis. - Manu Airaksinen; Bajibabu Bollepalli; Lauri Juvela; Zhizheng Wu 001; Simon King 001; Paavo Alku (INTERSPEECH, 2016)

Automatic Glottal Inverse Filtering with Non-Negative Matrix Factorization. - Manu Airaksinen; Lauri Juvela; Tom Bäckström; Paavo Alku (INTERSPEECH, 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 (INTERSPEECH, 2016)

Using Text and Acoustic Features in Predicting Glottal Excitation Waveforms for Parametric Speech Synthesis with Recurrent Neural Networks. - Lauri Juvela; Xin Wang 037; Shinji Takaki; Manu Airaksinen; Junichi Yamagishi; Paavo Alku (INTERSPEECH, 2016)

Frequency-warped time-weighted linear prediction for glottal vocoding. - Manu Airaksinen; Bajibabu Bollepalli; Jouni Pohjalainen; Paavo Alku (ICASSP, 2017)

Lombard speech synthesis using long short-term memory recurrent neural networks. - Bajibabu Bollepalli; Manu Airaksinen; Paavo Alku (ICASSP, 2017)

Effects of Training Data Variety in Generating Glottal Pulses from Acoustic Features with DNNs. - Manu Airaksinen; Paavo Alku (INTERSPEECH, 2017)

Glottal Source Estimation from Coded Telephone Speech Using a Deep Neural Network. - N. P. Narendra; Manu Airaksinen; Paavo Alku (INTERSPEECH, 2017)

Glottal Vocoding With Frequency-Warped Time-Weighted Linear Prediction. - Manu Airaksinen; Bajibabu Bollepalli; Jouni Pohjalainen; Paavo Alku (IEEE Signal Process. Lett., 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)

Speech Waveform Synthesis from MFCC Sequences with Generative Adversarial Networks. - Lauri Juvela; Bajibabu Bollepalli; Xin Wang 037; Hirokazu Kameoka; Manu Airaksinen; Junichi Yamagishi; Paavo Alku (ICASSP, 2018)

Time-regularized Linear Prediction for Noise-robust Extraction of the Spectral Envelope of Speech. - Manu Airaksinen; Lauri Juvela; Okko Räsänen; Paavo Alku (INTERSPEECH, 2018)

Speaker-independent Raw Waveform Model for Glottal Excitation. - Lauri Juvela; Vassilis Tsiaras; Bajibabu Bollepalli; Manu Airaksinen; Junichi Yamagishi; Paavo Alku (INTERSPEECH, 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)

Data Augmentation Strategies for Neural Network F0 Estimation. - Manu Airaksinen; Lauri Juvela; Paavo Alku; Okko Räsänen (ICASSP, 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 M. Haataja; Sampsa Vanhatalo (CoRR, 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)

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)

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)

Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition. - Einari Vaaras; Manu Airaksinen; Okko Räsänen (INTERSPEECH, 2022)

Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors. - Einari Vaaras; Manu Airaksinen; Sampsa Vanhatalo; Okko Räsänen (EMBC, 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, 2023)

Modeling 3D Infant Kinetics Using Adaptive Graph Convolutional Networks. - Daniel Holmberg; Manu Airaksinen; Viviana Marchi; Andrea Guzzetta; Anna Kivi; Leena M. Haataja; Sampsa Vanhatalo; Teemu Roos (CoRR, 2024)

IAR 2.0: An Algorithm for Refining Inconsistent Annotations for Time-Series Data Using Discriminative Classifiers. - Einari Vaaras; Manu Airaksinen; Okko Räsänen (IEEE Access, 2025)

PFML: Self-Supervised Learning of Time-Series Data Without Representation Collapse. - Einari Vaaras; Manu Airaksinen; Okko Räsänen (IEEE Access, 2025)