2.5

CiteScore

8.8

Global Impact Factor

Speech SMS


Paper ID: EIJTEM_2017_4_1_15-18

Author's Name: V. Anusha, B. Aswini and S. Durga

Volume: 4

Issue: 1

Year: 2017

Page No: 15-18

Abstract:

Over the years speech recognition is the evolving technique which has taken the market. The speech input can be used in varying domains such as automatic reader and for inputting data to the system. Speech recognition can minimize the use of text and other types of input. A decade back speech recognition was difficult to use in any system, but with elevation in technology leading to new algorithms, techniques and advanced tools. Now it is possible to generate the desired speech recognition output. One such method is the hidden markov models (HMM) which is used in this paper Speech SMS. Voice or signaled input is embedded through any discourse gadget such as microphone, then speech can be processed and convert it to text hence able to send SMS. Additionally, Phone number can be entering either by voice or you may select it from contact list. Voice has opened up data input for a variety of user’s such as illiterate, as if the person cannot compose then the speech input is a boon and other’s too which can lead to better usage of the application.

Keywords: HMM, Speech Recognition (SR), Android.

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