Automatic Speaker Identification Using Sentinel Word Discrimination

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Presentation transcript:

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: $264,676 3 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