Source: www.macrumors.com --- Wednesday, October 18, 2017
A new entry in Apple's Machine Learning Journal provides a closer look at how hardware, software, and internet services work together to power the hands-free "Hey Siri" feature on the latest iPhone and iPad Pro models. Specifically, a very small speech recognizer built into the embedded motion coprocessor runs all the time and listens for "Hey Siri." When just those two words are detected, Siri parses any subsequent speech as a command or query. The detector uses a Deep Neural Network to convert the acoustic pattern of a user's voice into a probability distribution. It then uses a temporal integration process to compute a confidence score that the phrase uttered was "Hey Siri." If the score is high enough, Siri wakes up and proceeds to complete the command or answer the query automatically. If the score exceeds Apple's lower threshold but not the upper threshold, however, the device enters a more sensitive state for a few seconds, so that Siri is much more likely to be invoked if the user repeats the phrase—even without more effort. "This second-chance mechanism improves the usability of the system significantly, without increasing the false alarm rate too much because it is only in this extra-sensitive state for a short time," said Apple. To reduce false triggers from strangers, Apple invites users to complete a short enrollment session in which they say five phrases that each begin with "Hey Siri." The examples are saved on th ...
from Apple http://ift.tt/2gOPATd
No comments:
Post a Comment