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Conference Proceeding  March 1, 2017

SenSay Analytics™: A real-time speaker-state platform

SRI Authors Colleen Richey, Andreas Kathol, Dimitra Vergyri, Harry Bratt



A. Tsiartas, C. Albright, N. Bassiou, M. Frandsen, I. Miller, E. Shriberg, J. Smith, L. Voss, V. Wagner, “SenSay Analytics™: A real-time speaker-state platform,” in Proc. ICASSP 2017, March 2017.


Growth in voice-based applications and personalized systems has led to increasing demand for speech- analytics technologies that estimate the state of a speaker from speech. Such systems support a wide range of applications, from more traditional call-center monitoring, to health monitoring, to human-robot interactions, and more. To work seamlessly in real-world contexts, such systems must meet certain requirements, including for speed, customizability, ease of use, robustness, and live integration of both acoustic and lexical cues. This demo introduces SenSay AnalyticsTM, a platform that performs real-time speaker-state classification from spoken audio. SenSay is easily configured and is customizable to new domains, while its underlying architecture offers extensibility and scalability.

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