Articles with public access mandates - Shreyas SeshadriLearn more
Available somewhere: 10
ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordings
O Räsänen, S Seshadri, M Lavechin, A Cristia, M Casillas
Behavior Research Methods 53, 818-835, 2021
Mandates: US National Science Foundation, Academy of Finland, Netherlands Organisation …
Vocal effort based speaking style conversion using vocoder features and parallel learning
S Seshadri, L Juvela, O Räsänen, P Alku
IEEE Access 7, 17230-17246, 2019
Mandates: Academy of Finland
Speaking style conversion from normal to Lombard speech using a glottal vocoder and Bayesian GMMs
AR López, S Seshadri, L Juvela, O Räsänen, P Alku
Interspeech, 1363-1367, 2017
Mandates: Academy of Finland
Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech
O Räsänen, S Seshadri, J Karadayi, E Riebling, J Bunce, A Cristia, ...
Speech Communication 113, 63-80, 2019
Mandates: US National Institutes of Health, Social Sciences and Humanities Research …
Cycle-consistent adversarial networks for non-parallel vocal effort based speaking style conversion
S Seshadri, L Juvela, J Yamagishi, O Räsänen, P Alku
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Mandates: Academy of Finland
Augmented CycleGANs for continuous scale normal-to-Lombard speaking style conversion
S Seshadri, L Juvela, P Alku, O Räsänen
Interspeech, 2838-2842, 2019
Mandates: Academy of Finland
SylNet: an adaptable end-to-end syllable count estimator for speech
S Seshadri, O Räsänen
IEEE Signal Processing Letters 26 (9), 1359-1363, 2019
Mandates: Academy of Finland
Comparison of syllabification algorithms and training strategies for robust word count estimation across different languages and recording conditions
O Räsänen, S Seshadri, M Casillas
Interspeech, 1200-1204, 2018
Mandates: Academy of Finland, Netherlands Organisation for Scientific Research
Comparison of non-parametric Bayesian mixture models for syllable clustering and zero-resource speech processing
S Seshadri, U Remes, O Räsänen
Interspeech, 2744-2748, 2017
Mandates: Academy of Finland
Dirichlet process mixture models for clustering i-vector data
S Seshadri, U Remes, O Räsänen
ICASSP 2017, 5470-5474, 2017
Mandates: Academy of Finland
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