International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
Voice Recognition Based Automation System for Medical Applications and For Physically Challenged Patients Sanu Kumar Das1, Vitthal Rathod2, Akhilesh Yadav.B3 1Sanu
Kumar Das, Dept. Of Electronics & Telecommunication, DYPCOE, Maharashtra, India Rathod, Dept. Of Electronics & Telecommunication, DYPCOE, Maharashtra, India 3Akhilesh Yadav, Dept. Of Electronics & Telecommunication, DYPCOE, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------2Vitthal
Abstract – Voice is the most effective way of
communication among human being. This, way of communication, can also be a useful interface to interact with machines. Therefore the dependency of voice recognition system has increased greatly in recent year. There are different methods to speech recognition like Hidden Markov Model (HMM), Hybrid Hidden Markov Model (ANN), etc. This paper presents the prototype of voice recognition based automation system for the physically challenged people suffering from quadriplegia or paraplegia (who cannot move their body parts but can speak and listen) to control the various devices and can control the bed movement just by the voice commands according to his/her desire and comfort. The proposed model has a voice recognition model, Arduino uno microcontroller, relay circuit for LED & Buzzer and a motor for adjustable bed. The voice recognition model should be trained first & data should be stored before it can be used to recognize the commands. Once it recognized voice command the Arduino will control the respected load with the help of the relay circuit. The adjustable bed can be operated at different modes as per the user’s requirement. The accuracy of voice recognition model is measured in different conditions. The results show the system can provide great help to the paralyzed people without any third person’s assistances. Key Words: Voice Recognition, ANN, Automation System for Paralyzed People, Arduino Uno, Motor, Buzzer, LED.
process, like LPC, MFCC along with ANN. Voice recognition systems are capable of understanding of different languages and different of words under functional environment. Voice signal provides two important types of information: [1] Content of Voice and [2] Identity of speaker. Voice recognition automation system can be a used for various applications.[1] It can be used for home automation[2] It can be used for paralyzed patients to control multiple devices.[3] It has also many applications like telephone directory assistance, automatic voice translation into foreign languages.
2. VOICE RECOGNITION PROCESS The process of voice recognition is complex and a hectic job. The figure 1given below shows following steps involved in the process of voice recognition.
2.1 Voice Acquisition Voice is the effective form of human communication. In this process, the voice of the speaker is received in the form of waveform. There is lots of software available which are used to record the voice of human being. In this we are storing the voice signal in the form of “.mat” The acoustic atmosphere and receiving equipment can have great effect on the voice generated. Sometime we have background noise or surrounding reverberation along with the voice signal which is unwanted and shouldn’t process further.
2.2 Voice Pre-processing 1. INTRODUCTION Voice is the most effective and natural way to communicate. Human being also wants to have a similar natural, easy and effective way of communication with machines. Therefore they prefer voice as a media to interact with devices rather than using any other hectic interfaces like mouse and keyboards. But the voice is a complex phenomenon as the human vocal pitch and articulators, being the biological organs, are not under our control and not same every time. Voice Recognition or Automatic Speech Recognition (ASR) plays an important role in human being and machine interaction. Voice recognition uses different methodology to recognize the word and to convert voice signals into the sequence of words by means of an algorithm implemented as a computer program. Different techniques are used for this © 2017, IRJET
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In this step pre-processing block plays an important role in eliminating the unwanted signal. It finally improves the accuracy of voice recognition. The voice pre-processing normally includes filtering of noise, smoothing of signal, point to point detection, framing of signal, windowing of signal, & cancelling and removing of echo. It processed only original data further.
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