The document summarizes a presentation on automatic speech recognition systems. It includes an introduction defining ASR as the transcription of spoken language into text in real time. It shows the basic block diagram of an ASR system and explains how it works similarly to the human process of hearing, transmitting signals to the brain, and understanding. Some key uses of ASR are in smartphones, AI robots, home automation, and computers. The benefits mentioned are hands-free use, aiding reading and spelling, and easy operation.

1. WELCOME TO SEMINAR
GREATER NOIDA INSTITUTE OF TECHNOLOGY
Submitted to:-Vikramjeet Singh sir
presented by:-Alok Kr. Tiwari
1213220007
EE(3rd Year)

2. AUTOMATIC SPEECH
RECOGNITION SYSTEM

3. Content:-
 INTRODUCTION
 BLOCK DIAGRAM
 WORKING
 NEED & IMPORTANCE
 SPEECH RECOGNITION USED IN
 BENEFITS
 CONCLUSION
 REFRENCE

4. Introduction
 Automatic speech recognition (ASR) can be
defined as the independent,
computer‐driven transcription of spoken
language into readable text in real time.
 ASR is technology that allows a computer to
identify the words that a person speaks into
a microphone or telephone and convert it
to written text.

5. Transducer
A/D
Converter
Controller
BLOCK DIAGRAM:
Memory
Device
Response

6. WHAT IS?
 TASK
 UNDERSTANDING
 VOICE COMMAND

7. Working
 The goal of an ASR system is to accurately
and efficiently convert a speech signal into
a text message transcription of the spoken
words independent of the speaker,
environment or the device used to record
the speech (i.e. the microphone).
 Work like a human body.

8. HOW DO HUMANS DO IT?
I. SOUND WAVES PRODUCED
II. WAVES REACHES THE EARS
III.FORWARDED TO BRAIN FOR UNDERSTANDING IT

9. HOW MIGHT COMPUTER DO THIS?
DIGITIZATION
ANALYSIS OF SIGNAL
INTERPRETATION OF SIGNAL

10. NEED & IMPORTANCE:
 The development of speech activation and recognition
technology was funded by the National Science
Foundation (NSF) and the Defense Department's Defense
Advanced Research Projects Agency (DARPA). Much of the
initial research, performed with NSA and NSF funding, was
conducted in the 1980s. (Source: Global Security.Org)
 For those people who are not physically active to do their
own work.

11. SPEECH RECOGNITION USED IN:
 SMART PHONES FOR SEARCHING AND
NAVIGATION FACILITIES
 ARTIFICIAL INTELLIGENCE SYSTEMS eg:
ROBOT
 HOME AUTOMATION SYSTEMS
 IN COMPUTER

12. SOFTWARE TO BE USED:
VISUAL STUDIO

13. TECHNOLOGIES USED:
ASP.net
C#

14. BENEFITS:
I. HANDS-FREE USE
II. READING AND SPEECH
III.SPELLING
IV.EASILY OPERATE

15. CONCLUSION:
 The Future scope of the system is very good.
 This Technology is Beneficial for public and
private sectors of the business community.
 The Technology is easily use by children and
adults.

16. REFRENCE:
 B.H. Juang & Lawrence R. Rabiner
#Georgia Institute of Technology, Atlanta &
Rutgers University and the University of
California, Santa Barbara
 www.docsoft.com.
 www.Google.com.