Voice Assistance for Visually Impaired People Using Natural Language Processing
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 4
Abstract
As the use of mobile devices is expanding and affecting various aspects of human life, the number and smartphone users is dramatically increasing. Consequently, the robustness of interaction between smartphone and human is essential for better system performance. By using the speech synthesizer technology for the android, the application presents the modality of text-to-speech responses on android device. In user mobile device they provided Location Based Services for set of services which originate from the geographic location. Using these services it is possible for the users to finding and locate other area, vehicles, and resources and also to provide location- services, in addition to tracking their own location. In this paper we will discuss how to implement these location based services in Android after giving introduction to Android and its constituents. A text-to-speech (TTS) system converts normal language text into speech; other systems render symbolic linguistic representations like phonetic transcriptions into speech.[1] The quality of a speech synthesizer is judged by its similarity to the human voice and by its ability to be understood clearly. A Text-to-speech synthesizer is an application that converts text into spoken word, by analysing and processing the text using Natural Language Processing (NLP) and then using Digital Signal Processing (DSP) technology to convert this processed text into synthesized speech representation of the text.
Authors and Affiliations
Asst. Prof. A. R. Soanwane, Abhijeet Wankhede, komal Rasane, Vivek Baraskar, Ganesh Borde
Keywords
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