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Abstract - The usage of mobile devices has increased dramatically in recent years. These devices serve us in many practical ways and provide us with many applications. One of the more recent advances is the use of language/text translation into speech. A complete mobile application (i.e., App) is described in this work for translating English text into Telugu and Telugu text into English by using a standard Google Language API. The Telugu text is subsequently converted into synthesized speech by utilizing the popular Festival Speech synthesis system that supports a number of languages including Telugu. Many papers have cited the problems of synthesizing Telugu speech accurately. A novel algorithm is introduced (runs offline of the Mobile App) that measures the accuracy and understandability of the Festival system. A sample of the Telugu language is extracted from the speech of native speakers (and stored in a standard database) and is compared to the speech generated by the Festival Speech synthesis system. The algorithm utilizes the MPEG-7 audio descriptors as the core level features extracted from both the generated and the synthesized speech. A distance measurement is performed and the word with the best measurement is selected using a quick-lookup mechanism. that the most appropriate video was selected. The completed App and measurement results are provided.
Keywords: Speech Synthesis, Intelligent Systems
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1 Introduction
Mobile computing has become one of the fastest evolving areas of computer science. Consumer demand and interest in mobile devices has exploded, as exemplified by the introduction of smart phones such as Apple's iPhone [4], TMobile's Android [2,12], and Microsoft Windows Phone[1]. Indeed, many programmers have found new opportunities developing applications (better known as Apps) for these smart phones as exhibited by almost 2 billion apps downloaded for the iPhone to date. One popular App involves the language translation from one language to another. Many of the more commonly spoke languages (Spanish, French, German, Chinese, etc.) have been successfully synthesized by a variety of systems [1,5,7], while other languages are still maturing in this area and are a prime area of research. This work explores the interpretation of the Telugu language text into synthesized speech. Telugu is the second most commonly spoke language in India and consists...