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ORCIDManu Airaksinen
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2020 – today
- 2024
[i7]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 abs/2402.14400 (2024)- 2023
- [j9]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): 3773 (2023) - [c23]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: 1-6 - [i6]Einari Vaaras, Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen:
Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors. CoRR abs/2305.09366 (2023) - 2022
- [c22]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: 1143-1147 - [i5]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 abs/2206.10188 (2022) - 2021
- [i4]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 abs/2107.01086 (2021)
2010 – 2019
- 2019
- [j8]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: 95-104 (2019) - [j7]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: 38-47 (2019) - [j6]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: 64-75 (2019) - [c21]Manu Airaksinen, Lauri Juvela, Paavo Alku, Okko Räsänen:
Data Augmentation Strategies for Neural Network F0 Estimation. ICASSP 2019: 6485-6489 - [i3]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 abs/1909.09823 (2019) - 2018
- [j5]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): 1658-1670 (2018) - [c20]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: 5679-5683 - [c19]Manu Airaksinen, Lauri Juvela, Okko Räsänen, Paavo Alku:
Time-regularized Linear Prediction for Noise-robust Extraction of the Spectral Envelope of Speech. INTERSPEECH 2018: 701-705 - [c18]Lauri Juvela, Vassilis Tsiaras, Bajibabu Bollepalli, Manu Airaksinen, Junichi Yamagishi, Paavo Alku:
Speaker-independent Raw Waveform Model for Glottal Excitation. INTERSPEECH 2018: 2012-2016 - [i2]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 abs/1804.00920 (2018) - [i1]Lauri Juvela, Vassilis Tsiaras, Bajibabu Bollepalli, Manu Airaksinen, Junichi Yamagishi, Paavo Alku:
Speaker-independent raw waveform model for glottal excitation. CoRR abs/1804.09593 (2018) - 2017
- [j4]Manu Airaksinen, Bajibabu Bollepalli, Jouni Pohjalainen, Paavo Alku:
Glottal Vocoding With Frequency-Warped Time-Weighted Linear Prediction. IEEE Signal Process. Lett. 24(4): 446-450 (2017) - [j3]Manu Airaksinen, Tom 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): 929-939 (2017) - [c17]Bajibabu Bollepalli, Manu Airaksinen, Paavo Alku:
Lombard speech synthesis using long short-term memory recurrent neural networks. ICASSP 2017: 5505-5509 - [c16]Manu Airaksinen, Bajibabu Bollepalli, Jouni Pohjalainen, Paavo Alku:
Frequency-warped time-weighted linear prediction for glottal vocoding. ICASSP 2017: 5630-5634 - [c15]N. P. Narendra, Manu Airaksinen, Paavo Alku:
Glottal Source Estimation from Coded Telephone Speech Using a Deep Neural Network. INTERSPEECH 2017: 3931-3935 - [c14]Manu Airaksinen, Paavo Alku:
Effects of Training Data Variety in Generating Glottal Pulses from Acoustic Features with DNNs. INTERSPEECH 2017: 3946-3950 - 2016
- [c13]Lauri Juvela, Xin Wang, Shinji Takaki, Sangjin Kim, Manu Airaksinen, Junichi Yamagishi:
The NII speech synthesis entry for Blizzard Challenge 2016. Blizzard Challenge 2016 - [c12]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: 4980-4984 - [c11]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: 5120-5124 - [c10]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: 968-972 - [c9]Manu Airaksinen, Lauri Juvela, Tom Bäckström, Paavo Alku:
Automatic Glottal Inverse Filtering with Non-Negative Matrix Factorization. INTERSPEECH 2016: 1039-1043 - [c8]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: 2283-2287 - [c7]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: 2473-2477 - 2015
- [c6]Manu Airaksinen, Tuomo Raitio, Paavo Alku:
Noise robust estimation of the voice source using a deep neural network. ICASSP 2015: 5137-5141 - [c5]Manu Airaksinen, Tom Bäckström, Paavo Alku:
Glottal inverse filtering based on quadratic programming. INTERSPEECH 2015: 2342-2346 - 2014
- [j2]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): 1139-1155 (2014) - [j1]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): 596-607 (2014) - [c4]Manu Airaksinen, Paavo Alku:
Parameterization of the glottal source with the phase plane plot. INTERSPEECH 2014: 96-100 - [c3]Manu Airaksinen, Tom Bäckström, Paavo Alku:
Automatic estimation of the lip radiation effect in glottal inverse filtering. INTERSPEECH 2014: 398-402 - 2013
- [c2]Manu Airaksinen, Brad H. Story, Paavo Alku:
Quasi closed phase analysis for glottal inverse filtering. INTERSPEECH 2013: 143-147 - [c1]Tuomo Raitio, Antti Suni, Jouni Pohjalainen, Manu Airaksinen, Martti Vainio, Paavo Alku:
Analysis and synthesis of shouted speech. INTERSPEECH 2013: 1544-1548
Coauthor Index
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