PRASANNA KUMAR MUTHUKUMAR - School of Computer Science

PRASANNA KUMAR MUTHUKUMAR
personal information
email
[email protected]
website
https://www.cs.cmu.edu/˜pmuthuku
phone
+1 (724) 594 7281
research interests
· Signal Processing · Speech Synthesis · Deep Learning · Machine
Learning · Auditory models ·
education
2010-2015
PhD in Language
and Information
Technologies
School of Computer Science
Thesis: Improving the Acoustic Models of Speech Synthesis
Advisor: Prof. Alan W Black
2008-2009
Masters in
Electrical and
Computer
Engineering
Carnegie Mellon University
GPA: 3.46/4.00 · Carnegie Institute of Technology
Specialization in Signal Processing, Biomedical Imaging, Speech Technology,
Computer Vision
2004-2008
Bachelors in
Electronics and
Communications
Engineering
Carnegie Mellon University
Anna University
GPA: 80/100 · Graduated First class with distinction
publications
ArXiv:1409.8558 A Deep Learning Approach to Data-driven
Parameterizations for Statistical Parametric Speech Synthesis
Deep Learning
Authors: Prasanna Kumar Muthukumar, Alan W Black
Automatic Discovery of a Phonetic Inventory for
Unwritten Languages for Statistical Speech Synthesis
ICASSP ’14
TTS without text
Authors: Prasanna Kumar Muthukumar, Alan W Black
Optimizations and Fitting Procedures for the
Liljencrants-Fant model for Statistical Parametric Speech
Synthesis
Interspeech’13
Excitation
modeling
Authors: Prasanna Kumar Muthukumar, Alan W Black, H. Timothy
Bunnell
Emotion Identification for Evaluation of
Synthesized Emotional Speech
S. Prosody ’12
Emotion analysis
Authors: Stefan Steidl, Tim Polzehl, H. Timothy Bunnell, Ying Dou,
Prasanna Kumar Muthukumar, Daniel Perry, Kishore Prahallad, Callie
Vaughn, Alan W Black, Florian Metze
ICASSP ’12
Articulatory Features for Expressive Speech
Synthesis
Articulatory
Features
Authors: Alan W Black, H. Timothy Bunnell, Ying Dou, Prasanna Kumar
Muthukumar, Florian Metze, Daniel Perry, Tim Polzehl, Kishore
Prahallad, Stefan Steidl, Callie Vaughn
SSW ’10
Improving Speech Synthesis for Noisy
Environments
Speech in noise
Authors: Gopalakrishna Anumanchipalli, Prasanna Kumar Muthukumar,
Udhyakumar Nallasamy, Alok Parlikar, Alan W Black, Brian Langner
computer skills
Programming
Languages
Operating Systems
Software
C, Lua, Perl, Python, Bash, Scheme
Linux, Mac OS X
Festival, ClusterGen, Torch7, Theano, QuickNet, Matlab
teaching experience
Introduction to Biomedical Imaging
Machine Learning for Signal Processing
Digital Signal Processing for Computer Science
October 2, 2014
2