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Speaker-Identification

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Introduction

This is a repository of a project that uses a Convolutional Neural Network to recognize the identity of a person from their voice. This model achieved an accuracy of approximately 86% for a group of 10 individuals.

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This is an implementation of a CNN based model to recognize a person purely by their voice.

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