The objective of this application is to implement a voice
recognition-based identification system. The idea is to prevent identity
theft (access to confidential information, restricted areas, etc.) using a
non-intrusive and user-friendly method. To illustrate this voice
identification system, three classes are distinguished: "aissa"
representing a person with authorized access, "marouan" representing
another person with authorized access, and "other" representing any other
person with unauthorized access. Based on a voice recording, the system is
capable of determining to which class it belongs and thus deciding whether
to grant access or not.
To access the public repository of the project, please click on the GitHub
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