1 citations · 2 across the 5 of their papers we have counts for
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Improved far-field speech recognition using Joint Variational Autoencoder
Shashi Kumar, Shakti P. Rath, Abhishek Pandey
Automatic Speech Recognition (ASR) systems suffer considerably when source speech is corrupted with noise or room impulse responses (RIR). Typically, speech enhancement is applied…
Spectral Modification Based Data Augmentation For Improving End-to-End ASR For Children's Speech
Vishwanath Pratap Singh, Hardik Sailor, Supratik Bhattacharya +1
Training a robust Automatic Speech Recognition (ASR) system for children's speech recognition is a challenging task due to inherent differences in acoustic attributes of adult and…
A Mixture of Expert Based Deep Neural Network for Improved ASR
Vishwanath Pratap Singh, Shakti P. Rath, Abhishek Pandey
This paper presents a novel deep learning architecture for acoustic model in the context of Automatic Speech Recognition (ASR), termed as MixNet. Besides the conventional layers, s…
A higher order Minkowski loss for improved prediction ability of acoustic model in ASR
Vishwanath Pratap Singh, Shakti P. Rath, Abhishek Pandey
Conventional automatic speech recognition (ASR) system uses second-order minkowski loss during inference time which is suboptimal as it incorporates only first order statistics in…
SRIB Submission to Interspeech 2021 DiCOVA Challenge
Vishwanath Pratap Singh, Shashi Kumar, Ravi Shekhar Jha +1
The COVID-19 pandemic has resulted in more than 125 million infections and more than 2.7 million casualties. In this paper, we attempt to classify covid vs non-covid cough sounds u…