Join us as we solve the biggest problems in voice computing.
We're researching things at the edge of of voice science - from diagnosing diseases with new machine learning models to building open-source voice assistants.
We're creating new protocols for how to collect and clean voice data.
We're making new feature embeddings for voice, text, image, and video data.
We're curating new speech datasets to classify emotions, accents, gender, and age.
We're looking at new ways we can automatically generate text and voice data.
We're innovating the process of visualizing audio, text, and image data with Elastic Search and Kibana.
We've open sourced our own voice assistant, Nala, written completely in Python.
We're researching new distributed computing server paradigms for voice computing.
We're researching new security, legal, and ethics frameworks to maximize consumer protections.
Looking to learn more about voice computing? Check out the book we recently released to help train the next generation of voice computing experts.
We're an interdisciplinary group of engineers, computer scientists, physicians, lawyers, designers, and researchers working to translate work in voice computing into products.
Jim Schwoebel
Chief Executive Officer
Drew Morris
Chief Technology Officer
Marsal Gavalda
Machine Learning Lead
James Fairey
Chief Audio Officer
Paul Prae
Software Engineer
Austin New
Software Engineer
Russell Ingram
Software Engineer
Grace Powers
Regulatory Affairs Advisor
Benjamin Maldonado
Innovation Fellow,
Miami University
Ashi Awasthi
Innovation Fellow,
Georgia Tech
TaJah Reynolds
Innovation Fellow,
Miami University
Ankita Moss
Innovation Fellow,
Emory University
Morgan Gallimore
Innovation Fellow,
Georgia Tech
Yutika Ineni
Innovation Fellow,
UT Dallas
Megha Sharma
Innovation Fellow,
Georgia Tech
Madeline Mullen
Innovation Fellow,
University of Cincinnati
Sahaj Shah
Innovation Fellow,
Dartmouth College
Kathleen Williams
Innovation Fellow,
Michigan State University
Robert Schad
Innovation Fellow,
University of Cincinnati
Sanjanaa Shanmugam
Innovation Fellow,
Rice University
Srikar Ayyalasomayajula
Innovation Fellow,
University of Michigan
We have a rich history of training emerging scientists in voice computing through our Innovation Fellows program. If you are interested, you can apply here.
Reza Hosseini Ghomi
Chief Medical Officer,
BrainCheck
Larry Zhang
Research Assistant,
Stanford University
Annie Vu
Vice President Of Strategy,
Interro Ventures
Haoxin Li
Master's Student,
Harvard University
Alexx Mitchell
Automation Engineer,
Universal Audio
Tarun Maddali
Research Assistant,
Georgia Tech
Hilary Lynch
Software Engineer,
Expanse
Luke Lyon
Software Engineer,
Carbon Black
David Prae
Web Developer,
Chalk LLC
Radhika Duvvuri
Masters Student,
Johns Hopkins School of Public Health
Peter Tang
Research Engineer,
IBM
Alice Romanov
Green Business Network, WFU Office of Sustainability
Audrey Wagner
Research Assistant,
UPMC Medicine
Yahia Ali
Graduate Student,
Emory University
Wendy Nguyen
Quality Assurance Engineer,
Second Source Medical LLC
Allison Pei
Medical Student,
Stony Brook School of Medicine
Dylan Pitulski,
Research Assistant,
University of Pittsburgh
Alyssa Naritoku
Product Analyst,
Webtoon Entertainment
Jake Peacock
Software Developer,
GenomOncology
Aditi Mylavarapu
Software Engineer,
Microsoft
Ryan Dunn
ER Scribe,
ScribeAmerica
Sumaiya Sayeed
Research Assistant,
Brown University
Aditya Muralidhar
Senior AI Analyst,
Accenture
Mugdha Apte
Research Assistant,
Georgia Tech
Neel Atawala
Medical Scribe,
Atlanta Institute for ENT
Justin John
Student,
UT Dallas
Dylan Martin
Software Engineer,
Datajoy
Maria Daigle
Research Assistant,
Brown University
Raj Singh
Machine Learning Engineer,
Cultivate
Timothy Wroge
Research Intern,
the Center for the Neural Basis of Cognition
Shadab Hassan
Senior Client Solutions Associate,
Gerson Lehrman Group
Hannah Gersch
Research Assistant,
Prausnitz Lab at Georgia Tech
Jerry Shan
CS Student,
UC Berkeley
Yosef Amrami
Masters Student,
St. John’s University
Geoffrey Bocobo
M.D. Student & Graduate Researcher |
Co-founder, Medsix
Chris Villongco
Resident Psychiatrist,
Morehouse School of Medicine
Aileen Wu
Student,
Vanderbilt University
Prateek Gupta
DPhil in Computer Science,
University of Oxford
Nikhil Raghuraman
Software Engineer,
Facebook
Katy Felkner
Research Assistant,
Digital Latin Library
Agnes Zhao
Research Project Assistant,
Oakland Cognitive Behavioral Therapy Center
Jordan Lander
Teacher,
Erie Public Schools
Parkinson's disease
1. Parkinson's detection using raw data from the iphone accelerometer.
2. Validating methods for early detection of PD symptoms with voice.
3. Closed-loop feedback deep brain stimulation project for people with PD/tremor.
Depression
4. Depression detection among those with PD.
5. Depression detection from the Audio-Visual Emotion Challenge.
6. Automated Voice Biomarkers for Depression Symptoms using an Online Cross-Sectional Data Collection Initiative.
Alzheimer's disease
7. Voice Biomarkers for Alzheimer’s Disease: Predicting Neuropsychological Measures and Dementia Status in the Framingham Heart Study Cognitive Aging Cohort. [coming soon].
Textbook
8. Schwoebel, J. (2018). An Introduction to Voice Computing in Python. Boston; Seattle; Atlanta: NeuroLex Laboratories. (150+ GitHub stars).
Pipelines/preprocessing
9. A voice analysis pipeline to help speed up research in vocal biomarkers.
General ethics
10. Villongco, Christopher, and Fazal Khan. "Sorry I Didn’t Hear You.” The Ethics of Voice Computing and AI in High Risk Mental Health Populations." AJOB neuroscience 11.2 (2020): 105-112.
Group 1 (1:50-13:44) - SES Biomarker
Yosef Amrami (14:45-23:50) - Appraisals
Jordan Lander (27:00-43:30) -Alcohol
Prateek Gupta (44:22-1:01:47) - Scarce data
Nikhil Raghuraman (1:03:17-1:13:00) - Twilio
Jerry Shan - (1:14:00-1:23:00) - iOS framework
Agnes Zhao - (1:24:00-1:31:00) - YouTube
Katy Felkner - (1:31:20-1:39:32) - Dementia
Maria Daigle (0:00-0:10) - Stress
Haoxin Li (10:00-20:00)- Accents
Raj Singh (20:00-30:00) - Ages
Tarun Maddali (30:00-40:00) - Stress
Dylan Martin (50:00-1:00:00) - Laserbeak
Kathleen Williams (1:00-1:10) - Depression
Justin John / Annie Vu (1:10:00) - Autism
Kamilah Mitchell (1:20:00) - Formant extraction
Luke Lyon (video link) - Emotions
Hilary Lynch (video link)- Alzheimer's
Tim Wroge (0:00-13:20) - Parkinson's disease
Larry Zhang (13:20-20:25) - Data pipelines
Audrey Wagner (20:25-33:29) - Glioblastoma
Dylan Pitulski (33:29-51:18) - Schizophrenia
Wendy Nguyen (53:00-1:03:36) - Depression
Allison Pei (1:03:00-1:13:00) - Common colds
Alyssa Naritoku (1:16:00-1:21:00) - Graves' disease
Mugdha Apte (1:22:00-1:30:00) - Anxiety disorders
Peter Tang (0:00-11:40) - Caffeine Detection
Shadab Hassan (11:40-23:00) - Anxiety
Alice Romanav (23:40-35:30) - Parkinson's
Radhika Duvvuri (39:29-48:44) - Depression
Sumaiya Sayeed (53:17-1:02:50) - Addiction
Yahia Ali (1:36:00-1:49:00) - Hardware demo
Jake Peacock (1:55:00-2:08:00) - Elastic Search
Hack Anxiety is the first Hack-X format that we hosted at Georgia Tech. The idea is to have a 3 hour Hack-a-thon format for innovators to come up with solutions in voice computing related around real problems - in this case, diagnosing and managing anxiety disorders.
