speaker recognition by afshan hina. overview what is speaker recognition? voice pattern categories...
TRANSCRIPT
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Speaker Recognition
By Afshan Hina
![Page 2: Speaker Recognition By Afshan Hina. Overview What is speaker recognition? Voice Pattern Categories of Speaker recognition. Verification versus identification](https://reader036.vdocuments.site/reader036/viewer/2022082611/56649e3f5503460f94b2f814/html5/thumbnails/2.jpg)
Overview
• What is speaker recognition?• Voice Pattern • Categories of Speaker recognition.• Verification versus identification• Phases of speaker recognition• Technology used• Advantages and disadvantages• Conclusion• Commentary
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Speaker Recognition
• Also referred as voiceprint recognition or voice recognition.• Identifies sound. • Such systems extract features from speech, model them
and use them to recognize the person from his/her voice.• Differs from speech recognition- where words are identified
and not speaker.• r eh k ao g n ay z s p iy ch
"recognize speech" • r eh k ay n ay s b iy ch”
"wreck a nice beach"
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Voice patterns• uses the acoustic
features of speech that have been found to differ between individuals.
• These acoustic patterns reflect both anatomy and learned behavioral patterns
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Voice patterns• But the data used in a voiceprint is a sound
spectrogram, not a wave form.• Spectrograms also use colors or shades of grey
to represent the acoustical qualities of sound.
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Categories
• Field text• Text dependant• Text independent• Conversational.
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Verification versus identification
• Speaker verification: If the speaker claims to be of a certain identity and the voice is used to verify this claim. Is usually used in applications which require secure access. Its a 1:1 match.
• Speaker identification: is the task of determining an unknown speaker's identity. It’s a 1:N match
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Phases of speaker recognition
• Enrollment Phase: During enrollment the speaker's voice is recorded and typically a number of features are derived to form a voice print, template, or model.
• Test Phase: In the test phase (also called verification or identification phase) the speaker's voice is matched to the templates or models
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Technologies used:
• frequency estimation• hidden Markov models• pattern matching algorithms• neural networks• matrix representation• decision trees
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Advantages
• Remote authentication over legacy phone line.• Users do not have to remember passwords or
pass phrases.• Users do not have to go through separate
process of verification.
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Disadvantages
• Misspoken or misread prompted phrases.• Extreme emotional states• Time varying microphone placement.• Poor or inconsistent room acoustics• Channel mismatch• Sickness• Aging.
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Conclusion
• speaker verification is a pervasive low cost way of including a biometric check.
• does not require specialized equipment to use the system.
• It provides a very strong binding between the presented credential (voice) and the user.
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Commentary
• Although speaker verification performance can be affected by various human and external factors, it does provide a powerful authentication solution.