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Shreyas Seshadri
Shreyas Seshadri
Apple
Email verificata su apple.com
Titolo
Citata da
Citata da
Anno
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
582021
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
292019
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
272019
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
272017
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
232019
Hierarchical prosody modeling and control in non-autoregressive parallel neural TTS
T Raitio, J Li, S Seshadri
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
212022
Augmented CycleGANs for continuous scale normal-to-Lombard speaking style conversion
S Seshadri, L Juvela, P Alku, O Räsänen
Interspeech, 2838-2842, 2019
142019
SylNet: an adaptable end-to-end syllable count estimator for speech
S Seshadri, O Räsänen
IEEE Signal Processing Letters 26 (9), 1359-1363, 2019
132019
Emphasis control for parallel neural TTS
S Seshadri, T Raitio, D Castellani, J Li
arXiv preprint arXiv:2110.03012, 2021
112021
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
82018
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
72017
Dirichlet process mixture models for clustering i-vector data
S Seshadri, U Remes, O Räsänen
ICASSP 2017, 5470-5474, 2017
32017
Machine learning methods for suprasegmental analysis and conversion in speech
S Seshadri
Aalto University, 2020
2020
SylNet
S Seshadri, O Räsänen
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019
2019
Analysis of Similarity based Representations on Heterogeneous Data
S Seshadri
Universitat Politècnica de Catalunya, 2014
2014
Improvement of Viola Jones Face Detector using Pre-Processing
S SESHADRI
SRM UNIVERSITY, 2012
2012
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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