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TANVI SAHAY

156 Brittany Manor Drive, Apt C, Amherst, MA - 01002
tanvisahay31@gmail.com | +1 (413) 801-3892

Education
May 2018
June 2016

University of Massachusetts, Amherst, MA | Master of Science | Computer Science
Birla Institute of Technology, India | Bachelor of Engineering | Electronics and Communication

Skills
Software Tool
Hardware
Language

Keil µvision, PCBExpress, Proteus, LaTeX, Multisim, LabVIEW*
Microprocessors (Intel 8085), Microcontrollers (Arduino*, ATMEL AT89S51, TIVA C series
tm4c123gh6pm, tm4c123gh6pge)
MATLAB, Assembly, C, Python, R*
*Basic familiarity

Research Experience
Aug 2015
-May 2016

Undergraduate Thesis | Team Member
A.T.O.M - A TOol for Music transcription
• Prepared a raw database for audio-visual recognition of isolated guitar notes and performed
recognition of different notes using Machine Learning and Image Processing techniques
• Prepared transcripted output of recognized notes using the Python+LaTeX library

May 2015
-July 2015

Signal Processing Lab, B.I.T. Mesra | Summer Research Intern
Study of changes in recognition efficiency of SVM for different free parameters
• Developed a grid search algorithm for mapping changes in accuracy with changing kernels
and kernel parameters for different types of Support Vector Classifiers
• Analyzed the relation between training to testing data ratio and recognition accuracy of
the network. Compared select cases with pattern recognition neural network.

Dec 2014
-May 2015

B.I.T. Mesra | Undergraduate Research Student
Decord : A device for locating lost item
• Designed and assembled a voice-based hardware module to be used as an external attachment to everyday devices and assist in their location retrieval.
• Explored various applications for the system, including its use as a search assistant in sorting
package at local mail centers, improving the manual sorting process.
• Filed a patent for the invention: ”Apparatus and method for locating misplaced item”

Oct 2014
-Nov 2014

B.I.T. Mesra | Minor Project | Team Member
Study and implementation of feed-forward network for hindi digit recognition
• Studied and implemented feed-forward and pattern recognition network for spoken hindi
digit recognition for varying neurons, activation functions and feature extraction techniques.
• Combined LPC and MFCC features to create a new feature set and compared the received
accuracy with isolated LPC and MFCC cases.

Publications
• Arpit Aggarwal, Rajeev Kumar, Tanvi Sahay, Mahesh Chandra, ”GuiTones-I: An Audio-Visual Database of
Monophonic Guitar Tones”, in Proc. IEEE TENCON 2016.
• Tanvi Sahay, Arpit Aggarwal, Annu bansal and Mahesh Chandra, ”Grid Search Analysis of nu-SVC for TextDependent Speaker-Identification”, in Proc. IEEE INDICON 2015
Best Paper Award
• Tanvi Sahay, Arpit Aggarwal, Annu Bansal and Mahesh Chandra, ”SVM and ANN: A Comparative Evaluation”
in Proc. IEEE NGCT-2015
• Arpit Aggarwal, Tanvi Sahay and Mahesh Chandra, ”Performance Evaluation of Artificial Neural Networks
for Isolated Hindi Digit Recognition using LPC and MFCC”,in Proc. IEEE ICACCS-2015
Best Paper Award


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