Sathvik Udupa

According to our database1, Sathvik Udupa authored at least 13 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Model Adaptation for ASR in low-resource Indian Languages.
CoRR, 2023


An End-to-End TTS Model in Chhattisgarhi, a Low-Resource Indian Language.
Proceedings of the Speech and Computer - 25th International Conference, 2023

Improved Acoustic-to-Articulatory Inversion Using Representations from Pretrained Self-Supervised Learning Models.
Proceedings of the IEEE International Conference on Acoustics, 2023

Real-Time MRI Video Synthesis from Time Aligned Phonemes with Sequence-to-Sequence Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

Lightweight, Multi-Speaker, Multi-Lingual Indic Text-to-Speech.
Proceedings of the IEEE International Conference on Acoustics, 2023

Gated Multi Encoders and Multitask Objectives for Dialectal Speech Recognition in Indian Languages.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
Streaming model for Acoustic to Articulatory Inversion with transformer networks.
Proceedings of the Interspeech 2022, 2022

Watch Me Speak: 2D Visualization of Human Mouth during Speech.
Proceedings of the Interspeech 2022, 2022

Gram Vaani ASR Challenge on spontaneous telephone speech recordings in regional variations of Hindi.
Proceedings of the Interspeech 2022, 2022

2021
Web Interface for Estimating Articulatory Movements in Speech Production from Acoustics and Text.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Estimating Articulatory Movements in Speech Production with Transformer Networks.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020
Voice based classification of patients with Amyotrophic Lateral Sclerosis, Parkinson's Disease and Healthy Controls with CNN-LSTM using transfer learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020


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