Intelligent assistant devices and methods for interacting with a user are disclosed. In some
examples, a method for interacting with a user comprises predicting suggested action (s) for …

To address the issues of handling conversations with mul tiple users, an intelligent digital
assistant system is provided. The system may include at least one microphone configured to …

A method for use with a computing device is provided. The method may include executing
one or more programs of an intelligent digital assistant system at a processor and presenting …

Methods, systems, and apparatus, including computer pro grams encoded on a computer
storage medium, for speech endpointing based on word comparisons are described. In one …

In one implementation, a computer-implemented method includes receiving, at a mobile
computing device, ambiguous user input that indicates more than one of a plurality of …

An automatic speech recognition (ASR) system detects an endpoint of an utterance using
the active hypotheses under consideration by a decoder. The ASR system calculates the …

A method for natural language interaction includes recording speech provided by a human
user. The recorded speech is translated into a machine-readable natural language input …

A system for determining an endpoint of an utterance during automatic speech recognition
(ASR) processing that accounts for the direction and duration of the incoming speech …

An intelligent assistant records speech spoken by a first user and determines a self-selection
score for the first user. The intelligent assistant sends the self-selection score to another …

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12/2008 Brulle-Drews 2011/O161076 A1 6, 2011 Davis et al. 7,490,042 B2 2/2009 Eide et …