Skip to main content
MIT Corporate Relations
MIT Corporate Relations
Search
×
Read
Watch
Attend
About
Connect
MIT Startup Exchange
Search
Sign-In
Register
Search
×
MIT ILP Home
Read
Faculty Features
Research
News
Watch
Attend
Conferences
Webinars
Learning Opportunities
About
Membership
Staff
For Faculty
Connect
Faculty/Researchers
Program Directors
MIT Startup Exchange
User Menu and Search
Search
Sign-In
Register
MIT ILP Home
Toggle menu
Search
Sign-in
Register
Read
Faculty Features
Research
News
Watch
Attend
Conferences
Webinars
Learning Opportunities
About
Membership
Staff
For Faculty
Connect
Faculty/Researchers
Program Directors
MIT Startup Exchange
Back to Faculty/Researchers
Jeung-Yoon (Elizabeth) Choi
Research Scientist
Primary DLC
Research Laboratory of Electronics
MIT Room:
36-761
(617) 253-7309
jyechoi@mit.edu
Areas of Interest and Expertise
Speech Signal Analysis
Speech Signal Processing
Speech Recognition
Prosody Detection
Emotion Recognition
Pathological Voice Analysis
Acoustic Event Detection
Music Understanding
Biometrics
Mchine Intelligence and Learning
Research Summary
The Speech Communication Group at RLE studies speech processing in human listeners and aims to model those processes in automatic speech analysis systems. Three key projects include 1) LEXI (Linguistic Events eXtraction and Integration) – a speech recognition system based on abrupt acoustic events called Landmarks, 2) Automatic analysis of speech produced by both typically-developing and atypically-developing children, and 3) Comparison of patterns of noisy speech recognition by humans and by ASR (Automatic Speech Recognition) systems. The goal in all three projects is to incorporate insights gained from our growing understanding of the basic science of human speech processing into automatic systems designed for various uses. Our research has applications in the design of improvements for current ASR systems (which are often challenged by noisy speaking environments, new words and new speakers) and in standardized clinical analysis for automatic diagnosis of speech disabilities, as well as in second language learning. Preliminary evidence suggests that this landmark-based approach is applicable not just for English, but across human languages."
Recent Work
Projects
June 9, 2015
Research Laboratory of Electronics
Implementation of Landmark/Acoustic-Cue-Based Speech Analysis/Recognition System
Principal Investigator
Jeung-Yoon (Elizabeth) Choi
June 9, 2015
Research Laboratory of Electronics
Annotation and Analysis of Speech from Typically and Atypically Developing Children for Automatic Diagnostics
Principal Investigator
Jeung-Yoon (Elizabeth) Choi
June 9, 2015
Research Laboratory of Electronics
Perception Experiments for Identifying Speech Characteristics Leading to Categorical Boundaries
Principal Investigator
Jeung-Yoon (Elizabeth) Choi
Related Faculty
Mr. David M Otten
Principal Research Engineer
Dr. Minjie Chen
Postdoctoral Associate
Michael Gene Giacomelli
Research Scientist