Automatic speech recognition allows for verbal human-machine interaction by using computer systems that can understand and respond to human speech in natural language. It simplifies tasks by allowing users to control devices with voice commands instead of physical input. While speech recognition helps with computer tasks and assists disabled people, it still faces challenges with background noise, different accents, voice changes, and spontaneous speech.

1. Prepared by:
Rajanivetha G
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2. Artificial intelligence??
• Create intelligent machines and software
• Highly technical
• Much preferred area
• Lots of innovations
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3. Branches of AI
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4. Automatic speech
recognition
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5. What does it do??
• Verbal human – machine interaction
• Response from computer in natural language
• User reliability
• Simplified tasks
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6. Types of ASR
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• Text-independent identification
• Text-independent verification
• Text-dependent identification
• Text-dependent verification

7. Types of speech recognition
system
• Speaker dependant
• Speaker independent
• Speaker adaptive
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8. How does it work??!!
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9. Advantages
• Menial computer tasks
• Assists paralysed people
• Comfortable human-machine interaction
• Saves time for user
• Simple handling of software
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10. Disadvantages
• Background noise difficulty
• Different slangs, accents of users
• Voice changeability based on body and
environmental condition (flu, cold, etc.)
• Spontaneous speech
• Mixed language
• Expensive
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11. Applications…
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14. Soft wares available
• Dragon
• Ivona
• CMU Sphinx
• Emacspeak
• Festival speech synthesis system
• MARF
• Non visual desktop access
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