Machine LearningAudioDeep Learning

Sound Classification

CNN-based audio classification system for distinguishing sound sources and environments

Timeline

November 2021March 2022

Key Technologies

PythonTensorFlowCNNsAudio Processing+1 more

Project Overview

This sound classification algorithm utilizes a convolutional neural network to distinguish the source and environment of sampled audio clips. The system demonstrates the application of deep learning to acoustic pattern recognition, enabling automatic identification and categorization of different audio signals based on their contextual characteristics.

Key Features

  • CNN architecture for audio
  • Source and environment classification
  • Feature extraction layers
  • Real-time audio processing

Technologies

Python
TensorFlow
CNNs
Audio Processing
Signal Processing