https://github.com/jenil311/multi-speaker-recognition

Multi-speaker voice recognition is a technology that identifies and differentiates between multiple speakers in an audio recording or live conversation. It uses advanced algorithms, such as neural networks, to analyze vocal patterns, pitch, tone, and other acoustic features.
https://github.com/jenil311/multi-speaker-recognition

audio-processing cnn-classification machine-learning neural-network sckiit-learn voice-recognition

Last synced: over 1 year ago
JSON representation

Multi-speaker voice recognition is a technology that identifies and differentiates between multiple speakers in an audio recording or live conversation. It uses advanced algorithms, such as neural networks, to analyze vocal patterns, pitch, tone, and other acoustic features.

• Host: GitHub
• URL: https://github.com/jenil311/multi-speaker-recognition
• Owner: Jenil311
• Created: 2024-09-08T07:55:38.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-09-08T09:09:17.000Z (almost 2 years ago)
• Last Synced: 2025-01-17T10:25:27.287Z (over 1 year ago)
• Topics: audio-processing, cnn-classification, machine-learning, neural-network, sckiit-learn, voice-recognition
• Language: Jupyter Notebook
• Homepage:
• Size: 15.3 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Multi-Speaker-Recognition