Intel Corporation

Jakub Nowicki

Munir Nikolai Alexander Georges

Tobias Bocklet

Piotr Rozen

Munir Georges

Tomasz Noczynski

Grzegorz Wojdyga

Szymon Jessa

An example apparatus for detecting intent in voiced audio includes a receiver to receive one or more word sequence hypotheses related to a voiced audio and a dynamic vocabulary. The apparatus also includes a natural language understander (NLU) to detect an intent and recognize a property related to the intent based on the word sequence hypothesis and the dynamic vocabulary. The apparatus further includes a transmitter to transmit the detected intent and recognized associated property to an application.

Spoken language understanding using dynamic vocabulary

An example apparatus for routing audio streams includes an audio receiver to receive audio from a microphone. The apparatus also includes a classifier to semantically generate a result set based on the audio. The apparatus further includes a scheduler to select a spoken language understanding (SLU) engine based on the result set. The apparatus includes a router to route the audio to the selected SLU engine.

Routing audio streams based on semantically generated result sets

Techniques are disclosed for client-side analysis of audio samples to identify one or more characteristics associated with captured audio. The client-side analysis may then allow a user device, e.g., a smart phone, laptop computer, in-car infotainment system, and so on, to provide the one or more identified characteristics as configuration data to a voice recognition service at or shortly after connection with the same. In turn, the voice recognition service may load one or more recognition components, e.g., language models and/or application modules/engines, based on the received configuration data. Thus, latency may be reduced based on the voice recognition engine having 'hints' that allow components to be loaded without necessarily having to process audio samples first. The reduction of latency may reduce processing time relative to other approaches to voice recognitions systems that exclusively perform server-side context recognition/classification.

Techniques for client-side speech domain detection using gyroscopic data and a system using the same

Growing community of inventors

Braniewo, Poland

Jakub Nowicki