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AccelWord: Energy Efficient Hotword Detection through Accelerometer by Li Zhang; Parth H. Pathak; Muchen Wu; Yixin Zhao; Prasant Mohapatra is a scholarly article available to read on EtoBox.

What is AccelWord: Energy Efficient Hotword Detection through Accelerometer about?

Voice control has emerged as a popular method for interacting with smart-devices such as smartphones, smartwatches etc. Popular voice control applications like Siri and Google Now are already used by a large number of smartphone and tablet users. A major challenge in designing a voice control application is that it requires continuous monitoring of user's voice input through the microphone. Such applications utilize hotwords such as "Okay Google" or "Hi Galaxy" allowing them to distinguish user's voice command and her other conversations. A voice control application has to continuously listen for hotwords which significantly increases the energy consumption of the smart-devices. To address this energy e ciency problem of voice control, we present AccelWord in this paper. AccelWord is based on the empirical evidence that accelerometer sensors found in today's mobile devices are sensitive to user's voice. We also demonstrate that the e↵ect of user's voice on accelerometer data is rich enough so that it can be used to detect the hotwords spoken by the user. To achieve the goal of low energy cost but high detection accuracy, we combat multiple challenges, e.g. how to extract unique sig

Author

Li Zhang; Parth H. Pathak; Muchen Wu; Yixin Zhao; Prasant Mohapatra

Publisher

ACM

Published

2015

Language

EN