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AUTOMATIC GENERATION OF
SPEECH(AGS) FOR MUTE AND HEARING
IMPAIRED PEOPLE
S.ARUNODHAYAN
S.SRIVATSAN
S.SADHAM HUSSAIN
B.PRASANTH
B.SUMATHY(FACULT
Y)
INTRODUCTION
• THE AUTOMATIC SPEECH GENERATION
SYSTEM(AGS) IS AN USER FRIENDLY DEVICE FOR
THE DEAF, DUMB, PARTIALLY PARALYzED
PEOPLE IN THIS wORLD. THESE kIND OF PEOPLE
FEEL VERY DIFFICULT TO COMMUNICATE wITH
EACH OTHER, SO MAkE THE COMMUNICATION
EASIER THIS DEVICE wILL BE HELPFUL AND THEY
CAN ALSO CONTROL THINGS AROUND wITHOUT
HELP OF OTHERS. THEY CAN BE AS NORMAL
HUMAN BEINGS.
ABSTRACT
• THE AUTOMATIC SPEECH GENERATION SYSTEM PROVIDES
A SUITABLE USER FRIENDLY DEVICE TO THE MUTE AND
HEARING IMPAIRED PEOPLE IN THE wORLD wHO ARE
DEPRIVED OF CONTROLLING THINGS AROUND THEM. THIS
SYSTEM CAN ALSO BE UTILISED FOR PARTIALLY
PARALYSED PEOPLE.
• THIS DEVICE UTILISES THE MEMS TECHNOLOGY wHICH
PRODUCES SIGNALS CORRESPONDING TO THE MOVEMENTS
MADE BY THE USER. THE MICROCONTROLLER IS PRE-
PROGRAMMED wITH THE SIGNALS CORRESPONDING TO
CERTAIN FINGER MOVEMENTS.
• THE DEAF AND DUMB PEOPLE CAN EASILY SHARE THEIR
IDEAS BY SOME OF THEIR BASIC HAND MOVEMENTS.
• IN OUR PROPOSED SYSTEM THE PHYSICALLY CHALLENGED
AND PARALYSED PEOPLE CAN CONTROL THINGS AROUND
THEM(FOR Ex: FANS, LIGHTS)wITHOUT THE HELP OF
OTHERS AND MAkE THEM DO THINGS LIkE NORMAL HUMAN
BEINGS.
ADVANTAGE AND
DISADVANTAGE
• EASY TO COMMUNICATE wITH THE PEOPLE AS OTHERS SO
THEIR IDEAS CAN’T BE USED BY OTHERS FOR THE GROwTH OF
NATION.
• THEY CAN BE AS NORMAL HUMAN BEINGS.
• CAN BE USED FOR PARTIALLY PARALYSED PEOPLE SO THAT
THEY CAN CONTROL THE THINGS BY THEIR OwN AND NOT
DEPEND ON OTHERS.
• EASY TO USE.
• VOICE CAN BE CHANGED BASED ON USER’S CHOICE.
• COST BECOMES MORE FOR COMPLEx MOVEMENTS.
• PROGRAM NEEDS MODIFICATION FOR MORE MOVEMENTS
BASED ON USER’S REqUIREMENT.
BLOCK DIAGRAM
HARDWARE AND SOFTWARE
HARDWARE:
oPIC 16F877A
oMEMS ACCELEROMETER
oVOICE PROCESSOR
oAUDIO BOARD
oRELAYS
SOFTWARE:
•MPLAB IDE 8.0
•PROTEUS 8.1 PROFESSIONAL
•PIC C COMPILER
MPLAB IDE ,PIC C COMPILER,PROTEUS
SOFTWARE
PIC BOARD AND AUDIO BOARD
HARDWARE
MEMS AND PIC KIT 3
VOICE OUTPUT(MATLAB)
OUTCOME
LOAD
REFERENCES
 “Deaf-Mute Communication Interpreter ” by Anbarasi Rajamohan, Hemavathy R.,
Dhanalakshmi M, may 2013.
 “Mems Accelerometer Based Nonspecific-User Hand Gesture” by Ruize Xu, Shengli Zhou,
And Wen J. Li, year may 2012.
 “Speaking Gloves for Speechless Persons” by Abjhijt Auti”, V. G. Puranik, Dr. A. K.
Kureshi, april 2014.
 “Electronic speaking glove for speechless patients” by Syed Faiz Ahmed, Syed Muhammad
Baber Ali, Sh. Saqib Munawwar Qureshi, Syed Faiz Ahmed, Syed Muhammad Baber Ali,
Sh. Saqib Munawwar Qureshi august 2013.
 Intelligent speech recognition and translating embedded device for deaf and dumb
individuals” by s.saivenkatesh, k. suriya , april 17/04/2014.
 “Intelligent Sign Language Verification System –Using Image Processing, Clustering and
Neural Network Concepts” by M. Rahim1, Tamnun E Mursalin2, Nasrin Sultana3 ,may
2011.
 “Microcontroller based gesture recognition system for handicap people” by Bhavina Patel,
Vandana Shah, Ravindra Kshirsagar, October-decemeber 2011.
 “Based on Artificial Neural Networks for voice recognition word segment” by Chenghui
Yang may 2010.
 “Generating Gestures from Speech” by R. San-Segundo, J.M. Montero, J. Macías-Guarasa,
R. Córdoba, J. Ferreiros, J.M. Pardo, may 2012.
 “Electronic speaking system for dumb”, by A. Y. Satpute1 and A. D. Bhoi, july 2013.
QOUTE
THANK YOU

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PPT CONFERENCE

  • 1. AUTOMATIC GENERATION OF SPEECH(AGS) FOR MUTE AND HEARING IMPAIRED PEOPLE S.ARUNODHAYAN S.SRIVATSAN S.SADHAM HUSSAIN B.PRASANTH B.SUMATHY(FACULT Y)
  • 2. INTRODUCTION • THE AUTOMATIC SPEECH GENERATION SYSTEM(AGS) IS AN USER FRIENDLY DEVICE FOR THE DEAF, DUMB, PARTIALLY PARALYzED PEOPLE IN THIS wORLD. THESE kIND OF PEOPLE FEEL VERY DIFFICULT TO COMMUNICATE wITH EACH OTHER, SO MAkE THE COMMUNICATION EASIER THIS DEVICE wILL BE HELPFUL AND THEY CAN ALSO CONTROL THINGS AROUND wITHOUT HELP OF OTHERS. THEY CAN BE AS NORMAL HUMAN BEINGS.
  • 3. ABSTRACT • THE AUTOMATIC SPEECH GENERATION SYSTEM PROVIDES A SUITABLE USER FRIENDLY DEVICE TO THE MUTE AND HEARING IMPAIRED PEOPLE IN THE wORLD wHO ARE DEPRIVED OF CONTROLLING THINGS AROUND THEM. THIS SYSTEM CAN ALSO BE UTILISED FOR PARTIALLY PARALYSED PEOPLE. • THIS DEVICE UTILISES THE MEMS TECHNOLOGY wHICH PRODUCES SIGNALS CORRESPONDING TO THE MOVEMENTS MADE BY THE USER. THE MICROCONTROLLER IS PRE- PROGRAMMED wITH THE SIGNALS CORRESPONDING TO CERTAIN FINGER MOVEMENTS. • THE DEAF AND DUMB PEOPLE CAN EASILY SHARE THEIR IDEAS BY SOME OF THEIR BASIC HAND MOVEMENTS. • IN OUR PROPOSED SYSTEM THE PHYSICALLY CHALLENGED AND PARALYSED PEOPLE CAN CONTROL THINGS AROUND THEM(FOR Ex: FANS, LIGHTS)wITHOUT THE HELP OF OTHERS AND MAkE THEM DO THINGS LIkE NORMAL HUMAN BEINGS.
  • 4. ADVANTAGE AND DISADVANTAGE • EASY TO COMMUNICATE wITH THE PEOPLE AS OTHERS SO THEIR IDEAS CAN’T BE USED BY OTHERS FOR THE GROwTH OF NATION. • THEY CAN BE AS NORMAL HUMAN BEINGS. • CAN BE USED FOR PARTIALLY PARALYSED PEOPLE SO THAT THEY CAN CONTROL THE THINGS BY THEIR OwN AND NOT DEPEND ON OTHERS. • EASY TO USE. • VOICE CAN BE CHANGED BASED ON USER’S CHOICE. • COST BECOMES MORE FOR COMPLEx MOVEMENTS. • PROGRAM NEEDS MODIFICATION FOR MORE MOVEMENTS BASED ON USER’S REqUIREMENT.
  • 6. HARDWARE AND SOFTWARE HARDWARE: oPIC 16F877A oMEMS ACCELEROMETER oVOICE PROCESSOR oAUDIO BOARD oRELAYS SOFTWARE: •MPLAB IDE 8.0 •PROTEUS 8.1 PROFESSIONAL •PIC C COMPILER
  • 7. MPLAB IDE ,PIC C COMPILER,PROTEUS SOFTWARE
  • 8. PIC BOARD AND AUDIO BOARD HARDWARE
  • 9. MEMS AND PIC KIT 3
  • 12. REFERENCES  “Deaf-Mute Communication Interpreter ” by Anbarasi Rajamohan, Hemavathy R., Dhanalakshmi M, may 2013.  “Mems Accelerometer Based Nonspecific-User Hand Gesture” by Ruize Xu, Shengli Zhou, And Wen J. Li, year may 2012.  “Speaking Gloves for Speechless Persons” by Abjhijt Auti”, V. G. Puranik, Dr. A. K. Kureshi, april 2014.  “Electronic speaking glove for speechless patients” by Syed Faiz Ahmed, Syed Muhammad Baber Ali, Sh. Saqib Munawwar Qureshi, Syed Faiz Ahmed, Syed Muhammad Baber Ali, Sh. Saqib Munawwar Qureshi august 2013.  Intelligent speech recognition and translating embedded device for deaf and dumb individuals” by s.saivenkatesh, k. suriya , april 17/04/2014.  “Intelligent Sign Language Verification System –Using Image Processing, Clustering and Neural Network Concepts” by M. Rahim1, Tamnun E Mursalin2, Nasrin Sultana3 ,may 2011.  “Microcontroller based gesture recognition system for handicap people” by Bhavina Patel, Vandana Shah, Ravindra Kshirsagar, October-decemeber 2011.  “Based on Artificial Neural Networks for voice recognition word segment” by Chenghui Yang may 2010.  “Generating Gestures from Speech” by R. San-Segundo, J.M. Montero, J. Macías-Guarasa, R. Córdoba, J. Ferreiros, J.M. Pardo, may 2012.  “Electronic speaking system for dumb”, by A. Y. Satpute1 and A. D. Bhoi, july 2013.
  • 13. QOUTE