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Thomas Drugman, Tuomo Raitio (2014): Excitation Modeling for HMM-based Speech Synthesis: Breaking Down the Impact of Periodic and Aperiodic Components. In: Proc. ICASSP 2014, 2014. (Type: Inproceeding | BibTeX | Tags: excitation modeling, glottal flow, HMM-based speech synthesis, residual signal)
Tuomo Raitio, Antti Suni, Lauri Juvela, Martti Vainio, Paavo Alku (2014): Deep neural network based trainable voice source model for synthesis of speech with varying vocal effort. In: Proc. Interspeech 2014, pp. 1969-1973, Singapore, 2014. (Type: Inproceeding | Links | BibTeX | Tags: Deep neural network, DNN, glottal flow, Speech synthesis, Vocal effort, voice source modelling)
Tuomo Raitio, Heng Lu, John Kane, Antti Suni, Martti Vainio, Simon King, Paavo Alku (2014): Voice source modelling using deep neural networks for statistical parametric speech synthesis. In: Proc. of the 22nd European Signal Processing Conference (EUSIPCO), Lisbon, Portugal, 2014. (Type: Inproceeding | Links | BibTeX | Tags: Deep neural network, DNN, glottal flow, statistical parametric speech synthesis, voice source modelling)
Tuomo Raitio, Antti Suni, Martti Vainio, Paavo Alku (2013): Comparing Glottal-Flow-Excited Statistical Parametric Speech Synthesis Methods. In: Proc. ICASSP 2013, 2013. (Type: Inproceeding | Abstract | Links | BibTeX | Tags: excitation, glottal flow, principal component analysis, pulse library, statistical parametric speech synthesis)
Alan Pinheiro, Tuomo Raitio, Danyane Gomes, Paavo Alku (2012): Voice source analysis using biomechanical modeling and glottal inverse filtering. In: Proc. Interspeech 2012, 2012, ISSN: 1990-9770. (Type: Inproceeding | Abstract | Links | BibTeX | Tags: biomechanical simulation, glottal flow, glottal inverse filtering)