1. Automatic Speaker Identification Using Sentinel Word Discrimination
The Problem
The Solution
e-WUW: Technology with increased accuracy of One (1) error per 23,635 words!
قٷڐݜﱓقلځڟ …
Command and Control
Application Dependent Actions
Speaker Identity Confirmed
Confidence: 95%
“Computer!” …
operator. known speaker
Text-to-Speech
e-WUW Recognizer
Transcription System
unknown speaker
Research Approach
Research Team + Expenses PI
PhD
Graduate
Undergraduate
Post-Doc
Dr. Këpuska, 1 Post-Doc, 1 PhD: $264, Years Salaries + Fringe
Tuition: $ 72,698, Misc. $ 29,000
3 Years Total (including FIT’s MTDC): $476,993
Technology
Sentinel Word (WUW) Recognition for Speaker Identification
e-WUW Technology for Speaker Identification
Feature Extraction
Prosodic + Spectral Features for:
Sentinel Word Detection and Recognition, &
Speaker Identification
Pattern Classification
e-WUW pattern recognition technology for classification of sequences
Deliverables
White paper(s) documenting the work and the progress
Data and Source code developed from this funding.
Projected Time Table:
11/28/2018
Dr. V. Këpuska