This document discusses silent sound technology, which allows people to communicate without making audible sounds. It works by detecting tiny muscular movements in the lips during speech using electromyography or image processing techniques. This information is then converted to electrical signals and transmitted as synthesized speech. The technology could help those who have lost their voice or have speech impediments to communicate over the phone or translate between languages. However, it faces restrictions for tonal languages and in differentiating between speakers.

1. SILENT SOUND
TECHNOLOGY
By
Moumita Deb
Class Roll No: 134
WBUT Roll No: 1090113129
Stream: CSE

2. CONTENT
 Introduction
 Need of Silent Sound
 Methods
 Electromyography
 Image Processing
i) Analog Image Processing
ii) Digital Image Processing
 Applications
 Restriction
 Conclusion
“talking
without
talking”

3. INTRODUCTION
• Amazing solution for those who had lost
their voice but wish to speak over phone.
• Developed at the Karlsruhe Institute of
Technology, Germany.
• Detects every lip movement and Internally
converts the electrical pulses into sounds
signals and sends them neglecting all other
surrounding noise.

4. NEED FOR SILENT SOUND
An end to embarrassed situations such as:
 A person answering his silent, but vibrating cell
phone in a meeting, lecture or performance, and
whispering loudly, “ I can’t talk to you right
now” .
 In the case of an urgent call,
apologetically rushing out of
the room in order to answer
or call the person back.

5. METHODS
• Two Methods for using Silent Sound Technology
Electromyography
IMAGE PROCESSING

6. ELECTROMYOGRAPHY
A technique for evaluating and recording the
electrical activity produced by skeletal muscles.
It detects the electrical potential generated by
muscle cells, when these cells are electrically or
neurologically activated.
Performed using instruments
called electromyograph,
to produce a record called an
electromyogram.

7. ELECTROMYOGRAPHY
PROCESS
Monitor tiny muscular movements that occure
when we speak.
 Monitored signals are converted into electrical
pulses that can then be turned into speech,
without a sound uttered.
Fig: Electromyography activity

8. IMAGE PROCESSING
 Image processing is a physical process used to
convert an image signal into a physical image.
The image signal can be either digital or
analog.
The actual output itself
can be an actual physical
image or the characteri-
stics of an image.

9. ANALOG IMAGE PROCESSING
It applied to hardcopy of data such as photographs.It
includes optical photogrammetric techniques
allowing for precise measurement of
height,width,location etc.
Elements of image interpretation:
 Primary elements : black and white tone,colour
tone.
Spatial arrangement of tone : size,shape,texture
pattern.

10. DIGITAL IMAGE PROCESSING
Digital image processing is more efficient than
analog.Steps of Digital Processing are-
Region of Interest(ROI)
Skin segmentation
Face detection
Lip detection
Facial features
Lip tracking

12. APPLICATION
 People can communicate in different languages
by translating the output of SST.
 Helps to Analyse and understand the people
who have lost voice to speak or stuttering
problem.
 Silent Sound Techniques is applied in Military for
communicating secret/confidential matters to
others.
 Software can be installed in wrist watch, wrist
tag or display/Mobile/Pc and etc.

13. RESTRICTIONS
 Translation into majority of languages but for
languages such as Chinese different tone holds
different meaning, facial movements being the
same. Hence this technology is difficult to apply in
such situations.
 From security point of view recognizing who you are
talking to gets complicated . Even differentiating
between people and emotions cannot be done. This
means you will always feel you are talking to a robot.

14. CONCLUSION
Software can be integrated onto mobile oriented or
hand-held devices.
Lip read for Chinese language Mandarin is highly
personalized.
Systems are still preliminary need improvement.
The software is being trained based on the lip
structure, complexion and features of the lip area.

15. REFERERENCES
http://www.ijettjournal.org/volume-9
http://en.wikipedia.org/wiki/Silent_speech_in
terface
http://www.ijera.com/papers/Vol4_issue4/Ve
rsion%209/K44095156.pdf