I am currently working as a assistant teaching professor at Wichita State University, United States. I am also working as a grdauate cordinator for MS in data science program. I have completed my PhD from
MUSAE Lab, INRS-EMT. My research interest lies in
machine learning, signal processing, speech processing, speech prosody, deep learning and pattern recognition. I completed my Masters thesis from Digital Audio Processing Lab, IIT Bombay under the supervision of Prof. Preeti Rao, and I also interned at Tamasek Laboratories in Nanyang Technological University, Singapore with Prof. Chng Eng Siong summer 2017.
Public Profile: https://www.linkedin.com/in/shruti-kshirsagar-0a03b7133/
Email: shruti.kshirsagar@wichita.edu
Audio R & D scientist | EERS Global Technological Inc., Canada (June 2022-April 2023)
Machine Learning for Audio Analytics Intern | Robert Bosch Inc, Mississauga, Ontario, Canada (June 2021-October 2021)
PhD Graduate Reseracher | National Institute of Scientific Reserach, Montreal Canada, (January 2018-September 2022)
MITACS Accelerate Research Intern | Lisnen Canada, Toronto, Ontario (August 2020-December 2020)
MITACS Accelerate Research Intern | Thales Canada, Quebec (May 2018 – September 2018)
Research Assistant | Nanyang Technological University, Singapore (May 2017 - Aug 2017)
Masters Dissertation Thesis | Indian Institute of Technology Bombay, India (Aug 2015 - June 2016)
Ph.D (Telecommunication)-Specilization in Deep Learning, Machine Learning, Speech and Signal processing, Institut National de la Recherche Scientifique, 2018 - 2022
(Advance courseswork in Speech Processing ) IIIT Hyderabad, 2016 - 2017
(Master Thesis reserach work) IIT Bomaby, 2015 - 2016
M.Eng (Electronics and Telecommunication Engineering) Specilization in Speech and Signal processing, Mumbai University, 2014-2016
B.Eng (Electronics and Telecommunication Engineering) Mumbai University, 2010- 2014
S. Barhate, S. Kshirsagar, N. Sanghvi, K. Sabu, P. Rao and N. Bondale " Prosodic Features of Marathi News Reading Style ", Proc. of IEEE TENCON, Nov 2016, Singapore.
P. Rao, H. Mixdorff, I. Deshpande, N. Sanghvi and S. Kshirsagar " A Quantitative Study of Focus Shift in Marathi ", Proc. of Speech Prosody, May 2016, Boston, U.S.A.
A. Avila, S. Kshirsagar,A. Tiwari, D. Lafond, D. O’Shaughnessy, T. Falk " SPEECH-BASED STRESS CLASSIFICATION BASED ON MODULATION SPECTRAL ", IEEE EUSIPCO, September 2019, Spain.
A. Gaballah, A. Avila, J. Monteiro, P. Tiwari, S. Kshirsagar, and T. Falk " DEVELOPMENT OF THE INRS-EMT SCENE CLASSIFICATION SYSTEMS FOR THE 2020 EDITION OF THE DCASE CHALLENGE (TASKS 1A AND 1B) ", DCASE, June 2020
A. Gaballah, A. Avila, J. Monteiro, P. Tiwari, S. Kshirsagar, and T. Falk " MODULATION SPECTRAL SIGNAL REPRESENTATION AND I-VECTORS FOR ANOMALOUS SOUND DETECTION ", DCASE, June 2020
S. Kshirsagar, Bijith Marakarkandy, P. Rao " Determination Of Acoustic Parameters Of Marathi Prosody " Master's thesis, June 2016.
Poster presentation on “ Prosodic Features of Marathi News Reading style” at TENCON- International Technical Conference of IEEE Region 10 (2016), Singapore.
Poster presentation on "Multimodal emotion recogntion "in the wild” at STARaCOM- Industrial meetup (2019), Montreal,Canada.
Poster presentation on "Exploring Domain Adaptation for Monolingual and Cross-lingual Speech Emotion Recognition” at ACM Canadian Celebration of women in computing conference (2019), Toronto, Canada.
MITACS Accelerate Internship Grant August 2020 - April 2021
MITACS Accelerate Internship Grant Summer 2018
MuSAE Lab Grant January 2018 – December 2021
INRS International Student Scholarship January 2018 – December 2021
NTU Singapore ‘Tamasek Lab Research Grant’ for International Internship Summer 2017
IIIT Hyderabad Language Technologies Research Center Lab Grant January 2017 – December 2017
IIT Bombay Digital Audio and Processing Lab Grant April 2016 – June 2016
Graduate Aptitude Test in Engineering (GATE) Scholarship for Masters August 2014 – July 2016
Association for the Advancement of Affective Computing
IEEE Signal Processing Society
IEEE Women in Engineering
IEEE Young Professionals
Women in Machine Learning
Last Updated: 16/02/18, 10:21:42 PM