AI Sounds Detection Dataset

Description

This dataset contains audio clips designed for training Convolutional Neural Networks (CNN) to detect mechanical and household sounds.

Current Status

All files have been preprocessed and converted to 22050 Hz. The dataset is ready for use in training audio classification models.

Demo Application

Test the model trained on this dataset directly in the browser: AI Sounds Detection App

Classes

The dataset currently includes the following categories:

• drilling
• washing
• keyboard
• vacuum

Dataset Structure

The dataset is organized by sound class with the following folder structure:

• drilling/ - Drilling machine sounds
• keyboard/ - Keyboard typing sounds
  • fixed/ - Preprocessed audio files
• vacuum/ - Vacuum cleaner sounds
  • fixed_vacuum/ - Preprocessed audio files
• washing/ - Washing machine sounds
  • fixed_washing/ - Preprocessed audio files
• raw/ - Raw data files (primary location)
  • raw_keyboard/ - Raw keyboard recordings
  • raw_vacuum/ - Raw vacuum recordings
  • raw_washing/ - Raw washing machine recordings

File Organization

• fixed/ folders contain preprocessed, cleaned, and normalized audio files ready for model training
• raw/ folders contain original, unprocessed audio files that require preprocessing