Research Work
My primary interests are in statistical machine learning, particularly applied to domains of Automatic Speech Recognition (ASR). Although ASR systems perform reasonably well in a number of applications, their performance degrades rapidly when conditions are no longer ideal. My current research is focussed on the use of articulatory feature based models for the recognition of conversational speech. A brief description of some of the projects that I have been involved with can be found here.
My Google Scholar citation page can be viewed here
Publications
- R. Prabhavalkar, J. Droppo
"A Chunk-based Phonetic Score for Mobile Voice Search"
Proceedings of ICASSP (to appear), Kyoto, Japan, 2012. - R. Prabhavalkar, E. Fosler-Lussier, K. Livescu
"A Factored Conditional Random Field Model For Articulatory Feature Forced Transcription"
IEEE ASRU workshop, Hawaii, USA, 2011.
(abstract | poster) - A. Næss, K. Livescu, R. Prabhavalkar
"Articulatory Feature Classification Using Nearest Neighbors"
Proceedings of Interspeech, Florence, Italy, 2011.
(link | abstract) - J. Woodruff, R. Prabhavalkar, E. Fosler-Lussier, D. L. Wang
"Combining monaural and binaural evidence for reverberant speech segregation"
Proceedings of Interspeech, Makuhari, Japan, 2010.
(link | abstract | bibtex | slides) - R. Prabhavalkar, P. Jyothi, W. Hartmann, J. Morris, E. Fosler-Lussier
"Investigations into the Crandem Approach to Word Recognition"
NAACL-HLT short paper session, Los Angeles, USA, 2010.
(link | abstract | bibtex) - R. Prabhavalkar, E. Fosler-Lussier
"Backpropagation Training for Multilayer Conditional Random Field based Phone Recognition"
Proceedings of ICASSP, Dallas, USA, 2010.
(link | abstract | bibtex | slides) - R. Prabhavalkar, Z. Jin, E. Fosler-Lussier
"Monaural Segregation of Voiced Speech using Discriminative Random Fields"
Proceedings of Interspeech, Brighton, UK, 2009.
(link | abstract | bibtex | poster | slides)