| COVAREP—A collaborative voice analysis repository for speech technologies G Degottex, J Kane, T Drugman, T Raitio, S Scherer 2014 ieee international conference on acoustics, speech and signal …, 2014 | 428 | 2014 |
| HMM-based speech synthesis utilizing glottal inverse filtering T Raitio, A Suni, J Yamagishi, H Pulakka, J Nurminen, M Vainio, P Alku IEEE transactions on audio, speech, and language processing 19 (1), 153-165, 2010 | 266 | 2010 |
| Digital assistant providing whispered speech TJ Raitio, MJ Hunt, HB Richards, M Chinthakunta US Patent 10,192,552, 2019 | 265 | 2019 |
| 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 | 119 | 2013 |
| Unit-selection text-to-speech synthesis based on predicted concatenation parameters TJ Raitio, KS Prahallad, AD Conkie, L Golipour, DA Winarsky US Patent 9,934,775, 2018 | 117 | 2018 |
| Utilizing glottal source pulse library for generating improved excitation signal for HMM-based speech synthesis T Raitio, A Suni, H Pulakka, M Vainio, P Alku 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 72 | 2011 |
| Toward a universal synthetic speech spoofing detection using phase information J Sanchez, I Saratxaga, I Hernaez, E Navas, D Erro, T Raitio IEEE Transactions on Information Forensics and Security 10 (4), 810-820, 2015 | 69 | 2015 |
| Siri on-device deep learning-guided unit selection text-to-speech system. T Capes, P Coles, A Conkie, L Golipour, A Hadjitarkhani, Q Hu, ... Interspeech, 4011-4015, 2017 | 65 | 2017 |
| Wavelets for intonation modeling in HMM speech synthesis AS Suni, D Aalto, T Raitio, P Alku, M Vainio 8th ISCA Workshop on Speech Synthesis, Proceedings, Barcelona, August 31 …, 2013 | 59 | 2013 |
| HMM-based Finnish text-to-speech system utilizing glottal inverse filtering T Raitio, A Suni, H Pulakka, M Vainio, P Alku Ninth Annual Conference of the International Speech Communication Association, 2008 | 55 | 2008 |
| A deep generative architecture for postfiltering in statistical parametric speech synthesis LH Chen, T Raitio, C Valentini-Botinhao, ZH Ling, J Yamagishi IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (11 …, 2015 | 53 | 2015 |
| Analysis of HMM-based Lombard speech synthesis T Raitio, A Suni, M Vainio, P Alku Twelfth Annual Conference of the International Speech Communication Association, 2011 | 49 | 2011 |
| DNN-based stochastic postfilter for HMM-based speech synthesis. LH Chen, T Raitio, C Valentini-Botinhao, J Yamagishi, ZH Ling INTERSPEECH, 1954-1958, 2014 | 44 | 2014 |
| Synthesis and perception of breathy, normal, and lombard speech in the presence of noise T Raitio, A Suni, M Vainio, P Alku Computer Speech & Language 28 (2), 648-664, 2014 | 43 | 2014 |
| Voice source modelling using deep neural networks for statistical parametric speech synthesis T Raitio, H Lu, J Kane, A Suni, M Vainio, S King, P Alku 2014 22nd European Signal Processing Conference (EUSIPCO), 2290-2294, 2014 | 38 | 2014 |
| The GlottHMM speech synthesis entry for Blizzard Challenge 2010 A Suni, T Raitio, M Vainio, P Alku The Blizzard Challenge 2010 workshop, 1-6, 2010 | 38 | 2010 |
| Controllable neural text-to-speech synthesis using intuitive prosodic features T Raitio, R Rasipuram, D Castellani arXiv preprint arXiv:2009.06775, 2020 | 34 | 2020 |
| Analysis and synthesis of shouted speech. T Raitio, A Suni, J Pohjalainen, M Airaksinen, M Vainio, P Alku Interspeech, 1544-1548, 2013 | 33 | 2013 |
| HMM-based synthesis of creaky voice. T Raitio, J Kane, T Drugman, C Gobl Interspeech, 2316-2320, 2013 | 33 | 2013 |
| Deep neural network based trainable voice source model for synthesis of speech with varying vocal effort T Raitio, A Suni, L Juvela, M Vainio, P Alku Fifteenth Annual Conference of the International Speech Communication …, 2014 | 30 | 2014 |
Martti VainioUniversity of HelsinkiVerified email at helsinki.fi
