Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Conversion of Speech to Text for Hearing Impaired People

Author : Avi Kumar 1 Ashwini B N 2 Lalitha K 3

Date of Publication :7th May 2016

Abstract: Speech to text conversion is a useful tool for integrating people with hearing Impairments in oral communication settings, e.g. counselling interviews or conferences. However, the transfer of speech into written language requires special techniques as it must be very fast and almost 100% correct to be understandable. The main objective of our project is to design a conversion of speech to text for hearing impaired people. The entire system is controlled by the 8 Bit microcontroller and the speech recognition IC (HM2007) which is capable of storing speech signals, and generating good recognition performance on highly disordered speech. The speech IC consists of non-volatile memory back-up with 3V battery onboard, which will store the speech recognition data in RAM after the power off condition. Whenever a speech is given as input to the Microphone the received speech is compared against the stored data. The keypad and digital display are used to communicate and program the HM2007 chip. The keypad is made up of 12 normally open momentary contact switches. On successful matching of the speech the HM2007 IC will send the corresponding codes to the controller. From the microcontroller the data will be sent to LCD display and to the mobile through the GSM.

Reference :

  1. [1] NuzhatAtiquaNafis and Md. SafaetHossain, “Speech to Text Conversion in Real-time”, International Journal of Innovation and Scientific Research ISSN 2351-8014 Vol. 17 No. 2 Aug. 2015, pp. 271-277. © 2015 Innovative Space of Scientific Research http://Journalshttp://www.ijisr.issr-journals.org.

    [2] http://appinventor.mit.edu/explore.

    [3] http://www.imagesco.com/articles/hm2007/SpeechRecognitio nTutorial01.html.

    [4] Sanjib Das, “Speech Recognition Technique: A Review”,International Journal of Engineering Research and Applications (IJERA).


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