An automatic speech-recognition (ASR) front-end was implemented on Android platform to access RESTful API. The purpose was retrieving information from the Internet using speech as primary input. The Android application uses an ASR front-end to recognize uttered words and transform them into text patterns. Then it exploits on board GPS data and RESTful Twitter API to find twits containing the recognized text and coming from users located in a certain area around the device. Implementations of the same algorithm in C and in Java were compared, and performance on the Android platform was evaluated.
Android-based automatic speech recognition front end to access Web APIs / M. Malcangi, P. Ferroni, M.E. Suzzani - In: Selected papers from proceedings of DSP application day 2010 : e-conference and webinars / [a cura di] M. Malcangi. - Milano : Libreria CLUP, 2011. - ISBN 9788863010411. - pp. 77-83 (( convegno DSP Application Day tenutosi a Milano, Italy nel 2010.
Android-based automatic speech recognition front end to access Web APIs
M. MalcangiPrimo
;
2011
Abstract
An automatic speech-recognition (ASR) front-end was implemented on Android platform to access RESTful API. The purpose was retrieving information from the Internet using speech as primary input. The Android application uses an ASR front-end to recognize uttered words and transform them into text patterns. Then it exploits on board GPS data and RESTful Twitter API to find twits containing the recognized text and coming from users located in a certain area around the device. Implementations of the same algorithm in C and in Java were compared, and performance on the Android platform was evaluated.
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