Cypress Semiconductor Corporation

Kenichi Kumatani

Ojas Ashok Bapat

Richard M Fastow

Jens Olson

A method, apparatus, and tangible computer readable medium for processing a Hidden Markov Model (HMM) structure are disclosed herein. For example, the method includes receiving Hidden Markov Model (HMM) information from an external system. The method also includes processing back pointer data and first HMM states scores for one or more NULL states in the HMM information. Second HMM state scores are processed for one or more non-NULL states in the HMM information based on at least one predecessor state. Further, the method includes transferring the second HMM state scores to the external system.

Hidden Markov Model processing engine

A method, system and tangible computer readable medium for generating one or more wake-up words are provided. For example, the method can include receiving a text representation of the one or more wake-up words. A strength of the text representation of the one or more wake-up words can be determined based on one or more static measures. The method can also include receiving an audio representation of the one or more wake-up words. A strength of the audio representation of the one or more wake-up words can be determined based on one or more dynamic measures. Feedback on the one or more wake-up words is provided (e.g., to an end user) based on the strengths of the text and audio representations.

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Sunnyvale, CA, United States of America

Kenichi Kumatani