Developing an Audio News System Based on Android

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With the development of the technology of mobile communication, smartphones have become one of the most popular ways that people get information. However some restrictions such as the screen size, ambient brightness etc. still cause some troubles to read news by smartphones. We based on Android designed an audio news software system by means of the speech synthesis technology which can afford pleasure to listen to information. Using the Andriod technology we developed the smartphone client software which can get the latest information in RSS channels by communicating with the server. Also, it can dynamically manage the RSS channels subscribed by yourself. In the design, we used the techniques of the Android UI framework and component which made the smartphone interface succinct and easy. In order to improve data store efficiency we implemented the data modification and store by transforming between the Json format and the Java object. Based on the iFLY mobile speech platform we developed the audio news player. The function of information automatic acquisition in the server made it possible that smartphones can get the latest information of the subscription channels.

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89-92

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February 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] L. Zhong, A design for an online RSS reader based on AJAX, Eighth ACIS International Conference on 1(2007) 794-798.

Google Scholar

[2] T. Shimizu, Y. Ashikari, Development of client-server speech translation system on a multi-lingual speech communication platform, International Workshop on Spoken Language Translation, Kyoto(2006) 213-216.

Google Scholar

[3] D. Burileanu, Spoken language interfaces for embedded applications, Human Factors and Voice Interactive Systems, 2nd Edition, Springer, New York, 2008, pp.135-161.

DOI: 10.1007/978-0-387-68439-0_5

Google Scholar

[4] C. Ungurean, D. Burileanu, et al., Automatic diacritic restoration for a TTS based E-mail reader application, UPB Scientific Bulletin, Series C, 70, 4, Politehnica Press, Bucharest, 2008, pp.3-12.

Google Scholar

[5] A. Black, H. Zen, K. Tokuda, Statistical parametric speech synthesis, ICASSP(2007) 1229-1232.

Google Scholar