ALL CASE FILES
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2024
WHO - Voice Identification System
SLUGwho-voice-identification
> CNN-based voice identification system using spectrograms to identify speakers from 3-second audio clips with data augmentation.
// OVERVIEW.MD3 BLOCKS
$ WHO is a sophisticated voice identification system built using Convolutional Neural Networks (CNN) that can accurately identify speakers from just 3-second audio clips using spectrogram analysis.
The system employs advanced data augmentation techniques on over 500 audio samples to improve model robustness and accuracy in speaker identification tasks.
This project strengthened expertise in CNN-based audio processing and demonstrated the practical application of deep learning in biometric identification systems.
// WHAT_IT_DOES6 BEATS
- 01> 3-second audio clip identification
- 02> CNN-based architecture
- 03> Spectrogram analysis
- 04> Data augmentation pipeline
- 05> High accuracy speaker recognition
- 06> Real-time processing capabilities
