Search Results for author:
Found 8 papers, 2 papers with code
AffectEcho: Speaker Independent and Language-Agnostic Emotion and Affect Transfer for Speech Synthesis
We showcase the language-independent emotion modeling capability of the quantized emotional embeddings learned from a bilingual (English and Chinese) speech corpus with an emotion transfer task from a reference speech to a target speech.
FairPy: A Toolkit for Evaluation of Social Biases and their Mitigation in Large Language Models
and also present a toolkit that provides plug-and-play interfaces to connect mathematical tools to identify biases with large pretrained language models such as BERT, GPT-2 etc.
Neural Operator: Is data all you need to model the world? An insight into the impact of Physics Informed Machine Learning
This article aims to provide a comprehensive insight into how data-driven approaches can complement conventional techniques to solve engineering and physics problems, while also noting some of the major pitfalls of machine learning-based approaches.
PaCMO: Partner Dependent Human Motion Generation in Dyadic Human Activity using Neural Operators
In contrast to the concurrent works, which mainly focus on generating the motion of a single actor from the textual description, we generate the motion of one of the actors from the motion of the other participating actor in the action.
Quantifying Human Bias and Knowledge to guide ML models during Training
We introduce an experimental approach to dealing with such unbalanced datasets by including humans in the training process.
AdaFNIO: Adaptive Fourier Neural Interpolation Operator for video frame interpolation
We present, AdaFNIO - Adaptive Fourier Neural Interpolation Operator, a neural operator-based architecture to perform video frame interpolation.
Character Spotting Using Machine Learning Techniques
This work presents a comparison of machine learning algorithms that are implemented to segment the characters of text presented as an image.
Denoising and Segmentation of Epigraphical Scripts
Segmentation is the process of extracting characters from a document and can be used when letters are separated by white space, which is an explicit boundary marker.
