Complete power point presentation on SPEECH RECOGNITION TECHNOLOGY. Very helpful for final year students for their seminar. One can use this presentation as their final year seminar. Speech Recognition is a very interesting topic for seminar.

1. Srijan Kumar Jha
Department of ECE,UIT Burdwan

2. • Introduction
• What is speech recognition?
• Block Diagram
• Components
• Types of SR system.
• How do Humans do Speech Recognition.
• How do computer do Speech Recognition.
• Process
• Applcations
• Benefits
• Drawbacks
• Conclusion

3. Already in our pockets

4. →

5. • Speech recognition is the process of converting an
acoustic signal, captured by a microphone or a
telephone, to a set of words.
• Also known as “automatic speech recognition” (ASR)

6. Linguistics
(Vowels
Frequencies)
Computing
(Building
sentences)
Mathematics
(Breaking down
Signals)

7. Voice Input Analog To Digital Acoustic Model
Language Model
Feedback Display
Speech Engine

8. Identifies phonemes from the speech sample using a probability based
mathematical model.
Identifies words and thus sentences uttered by the speaker from the
phonemes by making use of a dictionary file and grammar file.
Analyses the speech signal and removes the background noise thus focusing
only on the speaker’s speech.

9. There are two type of Speech Recognition :
Speaker Dependent SR System:
Work by learning the unique characteristics of a single person’s voice and
depend on the speaker for training.
Speaker Independent SR System:
Designed to recognize anyone’s voice , so no training is involved.

10. Articulation produces sound waves
which the ear convey to the Brain
for processing.

11. Acoustic Waveform Acoustic Signal
Speech Recognition
Digitization
Acoustic Analysis of Speech Signal
Linguistic Interpretation

12. sfdsf
User Input:
system catches users’ voice in the form of analog acoustic signal.
Digitization:
Digitize the analog signal.
Phonetic Breakdown:
Breaking signals into phoneme.
Statistical Modeling:
Mapping Phonemes to their phonetic representation using statistics
model.
Matching:
According to Grammar , phonetic representation and Dictionary ,the
system returns a word.

17. Health Care
Military
High Performance Aircrafts
Air Traffic Control System
Telephony-
Smart-phones
Customer Helpline Services
Personal Computers
Home Automation
Automobile audio systems

18.  Security
 Productivity
 Advantage for handicapped and blind
 Usability of other languages increases
 Personal voice macros can be created

19.  If the system has to work under noisy
environments, background noise may corrupt
the original data and leads to misinterpretation.
 If words that are pronounced similar for
example, their, there, this technology face
difficulty in distinguishing them.

20.  Speech Recognition System are an
indispensable part of the ever-advancing
field of human-computer interaction.
 Needs greater research to tackle various
challenges.