Low-Resource End-to-end Sanskrit TTS using Tacotron2, WaveGlow and Transfer Learning

no code implementations • 7 Dec 2022 • Ankur Debnath, Shridevi S Patil, Gangotri Nadiger, Ramakrishnan Angarai Ganesan

In our work reported in this paper, we have investigated the use of fine-tuning the English-pretrained Tacotron2 model with limited Sanskrit data to synthesize natural sounding speech in Sanskrit in low resource settings.

Transfer Learning

Functional Connectivity Methods for EEG-based Biometrics on a Large, Heterogeneous Dataset

no code implementations • 3 Jun 2022 • Pradeep Kumar G, Utsav Dutta, Kanishka Sharma, Ramakrishnan Angarai Ganesan

This study examines the utility of functional connectivity (FC) and graph-based (GB) measures with a support vector machine classifier for use in electroencephalogram (EEG) based biometrics.

EEG

Data and knowledge-driven approaches for multilingual training to improve the performance of speech recognition systems of Indian languages

no code implementations • 24 Jan 2022 • A. Madhavaraj, Ramakrishnan Angarai Ganesan

In phone/senone mapping, deep neural network (DNN) learns to map senones or phones from one language to the others, and the transcriptions of the source languages are modified such that they can be used along with the target language data to train and fine-tune the target language ASR system.

speech-recognition Speech Recognition