Showing cs.CLShow all
3 papers · 1 filter
cs.CL2024
Shiksha: A Technical Domain focused Translation Dataset and Model for Indian Languages
Advait Joglekar, Srinivasan Umesh
Neural Machine Translation (NMT) models are typically trained on datasets with limited exposure to Scientific, Technical and Educational domains. Translation models thus, in genera…
cs.CL2024
SPRING Lab IITM's submission to Low Resource Indic Language Translation Shared Task
Hamees Sayed, Advait Joglekar, Srinivasan Umesh
We develop a robust translation model for four low-resource Indic languages: Khasi, Mizo, Manipuri, and Assamese. Our approach includes a comprehensive pipeline from data collectio…
cs.CL2023
SALTTS: Leveraging Self-Supervised Speech Representations for improved Text-to-Speech Synthesis
Ramanan Sivaguru, Vasista Sai Lodagala, S Umesh
While FastSpeech2 aims to integrate aspects of speech such as pitch, energy, and duration as conditional inputs, it still leaves scope for richer representations. As a part of this…