Cochlear Transform Sound Signals

This repository contains a Python script for generating and visualizing cochlear transforms (ratemaps) from sound signals. The ratemap is simulated using a spectrogram, providing a visual representation of the auditory processing of sound signals.

Features

• Cochlear Transform: Simulates cochlear transforms using spectrograms.
• Support for Multiple Audio Formats: Processes .m4a, .ogg, and .mp4 audio files.
• Ratemap Generation: Creates ratemaps with configurable parameters.
• Logarithmic Scaling: Applies logarithmic scaling for better numerical stability and visualization.
• Visualization: Plots and saves ratemaps as images.

Code Overview

Main Components

1. Ratemap Generation:

   • Uses the spectrogram function from scipy.signal to generate a ratemap from the audio signal.
   • Allows for logarithmic scaling of the ratemap for improved visualization.

2. File Processing:

   • Scans the current directory for audio files with supported extensions (.m4a, .ogg, .mp4).
   • Loads each audio file using librosa and processes it to generate and save the ratemap.

3. Visualization:

   • Uses matplotlib and librosa.display to plot the ratemap.
   • Saves the generated plots as images.

Parameters

• lowcf: Lower cutoff frequency (Hz).
• highcf: Higher cutoff frequency (Hz, set to the sampling rate of the audio file).
• nchans: Number of channels for the ratemap.
• winlen: Window length for the spectrogram.
• hoplen: Hop length for the spectrogram.
• scale: Scaling mode for the ratemap ('log' for logarithmic scaling).

How to Use

1. Clone the Repository: sh git clone https://github.com/abdulvahapmutlu/cochlear-transform-sound-signals.git cd cochlear-transform-sound-signals

2. Prepare Your Audio Files: Place your .m4a, .ogg, and .mp4 audio files in the repository directory.

3. Install Dependencies: sh pip install numpy matplotlib scipy librosa

4. Run the Script: sh python cochlear_transform.py