Sri International

Andreas Tsiartas

Elizabeth E Shriberg

Michael Frandsen

Cory Albright

Ajay Divakaran

William Scott Mark

Kenneth C Nitz

Girish Acharya

Amir Tamrakar

Edgar Kalns

Min Yin

Jihua Huang

Michael Wessel

Hyong-Gyun Kim

Greg Ho

Brent Mombourquette

Eric Law

James R Carpenter

David A Salter

James F Carpenter

David Salter

Methods, computing devices, and computer-program products are provided for implementing a virtual personal assistant. In various implementations, a virtual personal assistant can be configured to receive sensory input, including at least two different types of information. The virtual personal assistant can further be configured to determine semantic information from the sensory input, and to identify a context-specific framework. The virtual personal assistant can further be configured to determine a current intent. Determining the current intent can include using the semantic information and the context-specific framework. The virtual personal assistant can further be configured to determine a current input state. Determining the current input state can include using the semantic information and one or more behavioral models. The behavioral models can include one or more interpretations of previously-provided semantic information. The virtual personal assistant can further be configured to determine an action using the current intent and the current input state.

VPA with integrated object recognition and facial expression recognition

Disclosed are machine learning-based technologies that analyze an audio input and provide speaker state predictions in response to the audio input. The speaker state predictions can be selected and customized for each of a variety of different applications.

Real-time speaker state analytics platform

Growing community of inventors

Santa Clara, CA, United States of America

Andreas Tsiartas