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US Patent 8200489 Multi-resolution hidden markov model using class specific features

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US Patent 12073147 Device, method, and graphical user interface for enabling conversation persistence across two or more instances of a digital assistant
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US Patent 12067985 Virtual assistant operations in multi-device environments
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US Patent 11954405 Zero latency digital assistant
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US Patent 11928604 Method and apparatus for building an intelligent automated assistant
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US Patent 11924254 Digital assistant hardware abstraction
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US Patent 11914848 Providing relevant data items based on context
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US Patent 11907436 Raise to speak
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US Patent 11893992 Multi-modal inputs for voice commands
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US Patent 11862186 Voice trigger for a digital assistant
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US Patent 11862151 Low-latency intelligent automated assistant
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US Patent 11853647 Proactive assistance based on dialog communication between devices
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US Patent 11838734 Multi-device audio adjustment coordination
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US Patent 11838579 Intelligent automated assistant for TV user interactions
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Patent abstract

A method for classifying data includes selecting an elemental size and features for the data that are representative of possible subclasses. Resolution widths are selected in conjunction with these features. Models associated with symbols are developed from these resolution widths and features. Data is compared with these models to give a likelihood that the model applies. The best model is determined and a signal is provided related to the symbol associated with the best model.

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US Patent 11783815 Multimodality in digital assistant systems
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US Patent 11765209 Digital assistant hardware abstraction
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US Patent 11750962 User identification using headphones
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US Patent 11710482 Natural assistant interaction
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US Patent 08200489 Multi-resolution hidden markov model using class specific features US Patent 8200489 Multi-resolution hidden markov model using class specific features

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Patent Number
0820048900
Patent Number
820048900

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