‪Tejas Umesh‬ - ‪Google Scholar‬

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Co-authors

Lorenz DienerMicrosoft CorporationVerified email at microsoft.com
Tanja SchultzProfessor of Computer Science, University BremenVerified email at uni-bremen.de
Prasanta Kumar GhoshAssociate Professor, Indian Institute of Science (IISc), BangaloreVerified email at iisc.ac.in
Aditya Murthycentre for neuroscience iiscVerified email at iisc.ac.in

Tejas Umesh

Tejas Umesh

Arizona State University

Verified email at asu.edu - Homepage

Machine Learning Deep Learning Speech


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Improving fundamental frequency generation in emg-to-speech conversion using a quantization approach L Diener, T Umesh, T Schultz 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019	16	2019
A comparative study of different EMG features for acoustics-to-EMG mapping M Sharma, N Gaddam, T Umesh, A Murthy, PK Ghosh Proc. Interspeech 2021, 616-620, 2021	4	2021
SPIRE VCV: An Acoustic-Articulatory Corpus with Three Different Speaking Rates T Purohit, T Umesh, S Narayanan, S Minulakshmi, PK Ghosh 2021 24th Conference of the Oriental COCOSDA International Committee for the …, 2021	1	2021

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