How does Voice Recognition work?

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SUMMARY

Voice recognition operates by identifying unique vocal characteristics of individuals, distinguishing them from others based on their unique vocal tracts and speech mannerisms. Unlike speech recognition, which focuses on understanding words, voice recognition emphasizes the identification of the speaker. Techniques such as Fast Fourier Transform (FFT) can be utilized to analyze key frequencies and magnitudes of a voice, enabling comparison against stored voice profiles for identification.

PREREQUISITES
  • Understanding of Fast Fourier Transform (FFT)
  • Knowledge of acoustic features in voice analysis
  • Familiarity with speaker recognition algorithms
  • Basic principles of machine learning for voice identification
NEXT STEPS
  • Research speaker recognition algorithms and their implementations
  • Explore acoustic feature extraction techniques in voice processing
  • Learn about machine learning models used for voice classification
  • Investigate real-time voice recognition systems and their applications
USEFUL FOR

Audio engineers, machine learning practitioners, and developers interested in implementing voice recognition systems will benefit from this discussion.

btb4198
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How does Voice-Recognition work? Not, Speech recognition but voice. Like I would know Justin Bieber's voice without seeing his face. Like if he had a new song and I did not know about it and I heard it in the car while driving, I would know that it was Justin Bieber. How does that work ? I looked it up on Google but I am getting sites about Speech recognition.

would you just use a fft and save the key frequencies and magnitudes?
and then compare it , every time a person talks ?
 
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Frustrating isn't it, the search.

Apparantly no two people have the same manner of speaking, since for one thing, their vocal tracts are different and speech mannerisms also.
Wiki has bit on it
http://en.wikipedia.org/wiki/Speaker_recognition
 

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