15 citations · 16 across the 5 of their papers we have counts for
5 papers
Unifying Streaming and Non-streaming Zipformer-based ASR
Bidisha Sharma, Karthik Pandia Durai, Shankar Venkatesan +4
There has been increasing interest in unifying streaming and non-streaming automatic speech recognition (ASR) models to reduce development, training, and deployment costs. We prese…
Multi-task Learning Of Deep Neural Networks For Audio Visual Automatic Speech Recognition
Abhinav Thanda, Shankar M Venkatesan
Multi-task learning (MTL) involves the simultaneous training of two or more related tasks over shared representations. In this work, we apply MTL to audio-visual automatic speech r…
Audio Visual Speech Recognition using Deep Recurrent Neural Networks
Abhinav Thanda, Shankar M Venkatesan
In this work, we propose a training algorithm for an audio-visual automatic speech recognition (AV-ASR) system using deep recurrent neural network (RNN).First, we train a deep RNN…
Polynomials and Second Order Linear Recurrences
Soumyabrata Pal, Shankar M. Venkatesan
One of the most interesting results of the last century was the proof completed by Matijasevich that computably enumerable sets are precisely the diophantine sets [MRDP Theorem, 9]…
Tight lower bounds for connected queen domination problems on the chessboard
Sneha S. Venkatesan, S. M. Venkatesan
1. We first show a lower bound of 2N/3-1 for the connected minimum queen domination (or cover) problem on the NXN chessboard - the upper bound is only 2 higher at most and is easy…