Dushyant Sharma

Dushyant Sharma
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Main area of research
Speech recognition

Dushyant Sharma received an MEng degree in Information Systems Engineering from Imperial College London in 2007. He was a research student at the Centre for Law Enforcement Audio Research (CLEAR) at Imperial College from 2008 and received a PhD in Speech Signal Processing in 2012. As part of the CLEAR project he has worked on the particular problem of single channel speech assessment and characterization in very high noise conditions.  Dushyant joined Nuance Communications Inc. in September 2012 where he works as a senior research scientist. His research interests are in the areas of non-intrusive speech quality and intelligibility assessment, noise and reverberation robust ASR, multichannel speech processing and speech enhancement.

Selected articles

A single-channel non-intrusive C50 estimator correlated with speech recognition performance

Abstract—Several intrusive measures of reverberation can be computed from measured and simulated room impulse responses, over the full frequency band or for each individual mel-frequency

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Non-intrusive speech intelligibility assessment

We present NISI, a novel non-intrusive speech intelligibility assessment method based on feature extraction and a binary tree regression model. A training method using the

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