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Vipul Arora

Postdoc Researcher

Language and Brain Lab,

Faculty of Linguistics, Philology and Phonetics,

University of Oxford

Email: firstname DOT lastname AT ling-phil.ox.ac.uk

I received my B.Tech. and Ph.D. degrees in Electrical Engineering from the Indian Institute of Technology (IIT) Kanpur, India. My Ph.D. thesis was entitled "Analysis of Pitched Polyphonic Music for Source Transcription". Currently, I am working towards developing a speech recognition system using phonological considerations within the framework of the Featurally Underspecified Lexicon (FUL) model. My other research interests include acoustic signal analysis and music information retrieval.

 

Recent Papers:

Vipul Arora, Laxmidhar Behera, Tharun Reddy and Ajay Pratap Yadav, “HJB Equation Based Learning Scheme for Neural Networks,” in International Joint Conference on Neural Networks (IJCNN), May 2017.

Vipul Arora, Aditi Lahiri and Henning Reetz, “Automatic Speech Recognition: what phonology can offer” in Lexical Processing of Speech, deGruyter/Mouton, 2017

Vipul Arora, Aditi Lahiri and Henning Reetz, “Attribute based shared hidden layers for cross-language knowledge transfer”, in IEEE Workshop on Spoken Language Technology (SLT), San Diego, California, December 2016

 

Recent Presentations:

Vipul Arora, Aditi Lahiri and Henning Reetz, “Phonological Features for Automatic Speech Recognition", UK speech meeting, Sheffield, June 2016. [Poster]

Vipul Arora, Aditi Lahiri and Henning Reetz, “Phonological Features for Digit Recognition,” in Acoustical Society of America (ASA) meeting, Jacksonville, November 2015. [Poster]

Talks:

Vipul Arora, Aditi Lahiri and Henning Reetz, “FUL Implementations", Ettington Park Workshop, April 2016. [Slides]

Vipul Arora, Aditi Lahiri and Henning Reetz, “Phonological Model for Automatic Recognition of Continuous Speech", Workshop on Auditory Neuroscience, Cognition and Modelling, Queen Mary University London, February 2016. [Video] [Slides]