Sanskrit, a language renowned for its profound literature and philosophical insights, has
remained a cornerstone of ancient wisdom. In this digital age, the fusion of tradition and …

Compounds occur very frequently in Indian Languages. There are no strict orthographic
conventions for compounds in modern Indian Languages. In this paper, Sanskrit compounding …

This paper explores the possibility of using convex optimization to address a class of problems
in visual servoing. This work is motivated by the recent success of convex optimization …

Modeling natural language is among fundamental challenges of artificial intelligence and
the design of interactive machines, with applications spanning across various domains, such …

Convolutional Neural Networks (CNNs) have been used extensively for computer vision
tasks and produce rich feature representation for objects or parts of an image. But reasoning …

Automatic post-editing (APE) models are used to correct machine translation (MT) system
outputs by learning from human post-editing patterns. We present the system used in our …

on the path are shown in Figure 6;(a) O1 from a;(b) O1 from b;(c) O1 from c;(d) O1 from d;
and (e) O2 from e.(f) O2 from f.

Language models can be formalized as loglinear regression models where the input features
represent previously observed contexts up to a certain length m. The complexity of existing …

We present ParrotTTS, a modularized text-to-speech synthesis model leveraging disentangled
self-supervised speech representations. It can train a multi-speaker variant effectively …

We present a method to control the emotional prosody of Text to Speech (TTS) systems by
using phoneme-level intermediate features (pitch, energy, and duration) as levers. As a key …