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Manu Airaksinen
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Quasi closed phase glottal inverse filtering analysis with weighted linear prediction
M Airaksinen, T Raitio, B Story, P Alku
IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (3), 596-607, 2013
1282013
Speech waveform synthesis from MFCC sequences with generative adversarial networks
L Juvela, B Bollepalli, X Wang, H Kameoka, M Airaksinen, J Yamagishi, ...
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
572018
Automatic posture and movement tracking of infants with wearable movement sensors
M Airaksinen, O Räsänen, E Ilén, T Häyrinen, A Kivi, V Marchi, A Gallen, ...
Scientific reports 10 (1), 1-13, 2020
512020
GlottDNN-a full-band glottal vocoder for statistical parametric speech synthesis.
M Airaksinen, B Bollepalli, L Juvela, Z Wu, S King, P Alku
Interspeech 9, 2473-2477, 2016
482016
A comparison between straight, glottal, and sinusoidal vocoding in statistical parametric speech synthesis
M Airaksinen, L Juvela, B Bollepalli, J Yamagishi, P Alku
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (9), 1658 …, 2018
442018
Analysis and synthesis of shouted speech.
T Raitio, A Suni, J Pohjalainen, M Airaksinen, M Vainio, P Alku
Interspeech, 1544-1548, 2013
372013
Speaker-independent raw waveform model for glottal excitation
L Juvela, V Tsiaras, B Bollepalli, M Airaksinen, J Yamagishi, P Alku
arXiv preprint arXiv:1804.09593, 2018
362018
High-pitched excitation generation for glottal vocoding in statistical parametric speech synthesis using a deep neural network
L Juvela, B Bollepalli, M Airaksinen, P Alku
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
362016
OPENGLOT–An open environment for the evaluation of glottal inverse filtering
P Alku, T Murtola, J Malinen, J Kuortti, B Story, M Airaksinen, M Salmi, ...
Speech Communication 107, 38-47, 2019
282019
Analysis/synthesis comparison of vocoders utilized in statistical parametric speech synthesis
M Airaksinen
Master's thesis, Aalto University, 2012
182012
Lombard speech synthesis using long short-term memory recurrent neural networks
B Bollepalli, M Airaksinen, P Alku
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
142017
Automatic glottal inverse filtering with the Markov chain Monte Carlo method
H Auvinen, T Raitio, M Airaksinen, S Siltanen, BH Story, P Alku
Computer Speech & Language 28 (5), 1139-1155, 2014
142014
Data augmentation strategies for neural network F0 estimation
M Airaksinen, L Juvela, P Alku, O Räsänen
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
132019
Aalto Aparat—A freely available tool for glottal inverse filtering and voice source parameterization
P Alku, H Pohjalainen, M Airaksinen
Subsidia: Tools and Resources for Speech Sciences, 21-23, 2017
132017
Estimation of the glottal source from coded telephone speech using deep neural networks
NP Narendra, M Airaksinen, B Story, P Alku
Speech Communication 106, 95-104, 2019
112019
Automatic estimation of the lip radiation effect in glottal inverse filtering
M Airaksinen, T Bäckström, P Alku
Fifteenth Annual Conference of the International Speech Communication …, 2014
112014
Normal-to-Lombard adaptation of speech synthesis using long short-term memory recurrent neural networks
B Bollepalli, L Juvela, M Airaksinen, C Valentini-Botinhao, P Alku
Speech Communication 110, 64-75, 2019
92019
Noise robust estimation of the voice source using a deep neural network
M Airaksinen, T Raitio, P Alku
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
92015
Quadratic programming approach to glottal inverse filtering by joint norm-1 and norm-2 optimization
M Airaksinen, T Bäckström, P Alku
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (5), 929-939, 2016
82016
The NII speech synthesis entry for Blizzard Challenge 2016
L Juvela, X Wang, S Takaki, S Kim, M Airaksinen, J Yamagishi
Proc. Blizzard Challenge Workshop, 2016
82016
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