Speaker Diarization & Voice Identification Explained: Complete Code Walkthrough | Python ML and AI
Автор: Shourya Kumar Singh
Загружено: 2024-07-25
Просмотров: 2704
Welcome to my comprehensive tutorial on Speaker Diarization and Voice Identification using Python and TorchAudio! In this video, I'll walk you through each step of my audio forensic project, explaining the code in detail and demonstrating how to implement these powerful techniques in your own projects.
📌 What You'll Learn:
1. Introduction to Speaker Diarization and Voice Identification
2. Detailed explanation of the Python code used
3. How to use TorchAudio for audio processing
4. Implementing machine learning models for speaker recognition
5. Step-by-step guide to setting up the environment and running the project
🔧 Technologies/Tools Used:
1. Python
2. TorchAudio
3. Pyannote.audio
4. WhisperX
5. Speechbrain
6. PyDub
7. SciPy
👨💻 About the Project:
This project aims to accurately identify and differentiate speakers in audio recordings, a crucial task in audio forensics. By leveraging machine learning and deep learning techniques, we achieve high accuracy in voice matching and speaker recognition.
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