34 citations · 41 across the 9 of their papers we have counts for
9 papers
Style Description based Text-to-Speech with Conditional Prosodic Layer Normalization based Diffusion GAN
Neeraj Kumar, Ankur Narang, Brejesh Lall
In this paper, we present a Diffusion GAN based approach (Prosodic Diff-TTS) to generate the corresponding high-fidelity speech based on the style description and content text as a…
KL Regularized Normalization Framework for Low Resource Tasks
Neeraj Kumar, Ankur Narang, Brejesh Lall
Large pre-trained models, such as Bert, GPT, and Wav2Vec, have demonstrated great potential for learning representations that are transferable to a wide variety of downstream tasks…
One Shot Audio to Animated Video Generation
Neeraj Kumar, Srishti Goel, Ankur Narang +4
We consider the challenging problem of audio to animated video generation. We propose a novel method OneShotAu2AV to generate an animated video of arbitrary length using an audio c…
Robust One Shot Audio to Video Generation
Neeraj Kumar, Srishti Goel, Ankur Narang +1
Audio to Video generation is an interesting problem that has numerous applications across industry verticals including film making, multi-media, marketing, education and others. Hi…
Multi Modal Adaptive Normalization for Audio to Video Generation
Neeraj Kumar, Srishti Goel, Ankur Narang +1
Speech-driven facial video generation has been a complex problem due to its multi-modal aspects namely audio and video domain. The audio comprises lots of underlying features such…
Few Shot Adaptive Normalization Driven Multi-Speaker Speech Synthesis
Neeraj Kumar, Srishti Goel, Ankur Narang +1
The style of the speech varies from person to person and every person exhibits his or her own style of speaking that is determined by the language, geography, culture and other fac…