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Bajibabu Bollepalli
Bajibabu Bollepalli
Machine Learning Researcher; Sanas.ai
Email confirmado em sanas.ai - Página inicial
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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
762018
GELP: GAN-excited linear prediction for speech synthesis from mel-spectrogram
L Juvela, B Bollepalli, J Yamagishi, P Alku
arXiv preprint arXiv:1904.03976, 2019
572019
Generative adversarial network-based glottal waveform model for statistical parametric speech synthesis
B Bollepalli, L Juvela, P Alku
Interspeech 2017, 3394--3398, 2017
532017
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
512018
Glotnet—a raw waveform model for the glottal excitation in statistical parametric speech synthesis
L Juvela, B Bollepalli, V Tsiaras, P Alku
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (6), 1019 …, 2019
502019
GlottDNN-A full-band glottal vocoder for statistical parametric speech synthesis
M Airaksinen, B Bollepalli, L Juvela, Z Wu, S King, P Alku
Interspeech 2016, 2016
492016
Multiscale System for Alzheimer’s Dementia Recognition through Spontaneous Speech
E Edwards, C Dognin, B Bollepalli, M Singh
Proc. Interspeech 2020, 2197-2201, 2020
402020
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
392018
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
ICASSP 2016, 2016
362016
Waveform generation for text-to-speech synthesis using pitch-synchronous multi-scale generative adversarial networks
L Juvela, B Bollepalli, J Yamagishi, P Alku
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
242019
Lombard Speech Synthesis Using Transfer Learning in a Tacotron Text-to-Speech System
B Bollepalli, L Juvela, P Alku
Proc. Interspeech 2019, 2833-2837, 2019
192019
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
162019
Modeling a Noisy-channel for Voice Conversion Using Articulatory Features
B Bollepalli, AW Black, K Prahallad
INTERSPEECH, 2012
152012
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
Duration modelling in voice conversion using artificial neural networks
R Srikanth, B Bajibabu, K Prahallad
2012 19th International Conference on Systems, Signals and Image Processing …, 2012
112012
DNN-based Speech Synthesis for Indian Languages from ASCII text
S Ronanki, S Reddy, B Bollepalli, S King
arXiv preprint arXiv:1608.05374, 2016
102016
SWS Task: Articulatory phonetic units and sliding DTW
GV Mantena, B Bajibabu, K Prahallad
Media Eval, INTERSPEECH, 2011
92011
Tutoring Robots: Multiparty multimodal social dialogue with an embodied tutor
S Al Moubayed, J Beskow, B Bollepalli, A Hussen-Abdelaziz, ...
Innovative and Creative Developments in Multimodal Interaction Systems: 9th …, 2014
82014
Distribution augmentation for low-resource expressive text-to-speech
M Lajszczak, A Prasad, A Van Korlaar, B Bollepalli, A Bonafonte, A Joly, ...
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
72022
Speaking style adaptation in Text-To-Speech synthesis using Sequence-to-sequence models with attention
B Bollepalli, L Juvela, P Alku
arXiv preprint arXiv:1810.12051, 2018
72018
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