FarzadForuozanfar/Speech-Recognition
I recorded 10 voices with the same words from myself and compared them with another 10 words from another person. I was able to find a threshold level that acknowledges and recognizes my own voice.
This project helps you confirm the identity of a speaker by analyzing their voice. It takes audio recordings of a known person's voice and compares them against other voice samples to determine if they belong to the same individual. This would be useful for security professionals, voice biometric system designers, or anyone needing to authenticate users based on their unique vocal patterns.
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Use this if you need to verify that a voice sample matches a known speaker, even if their speaking speed varies.
Not ideal if you need to convert speech into text for transcription or general speech-to-text applications.
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26
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Language
Jupyter Notebook
License
MIT
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Last pushed
Apr 26, 2022
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