spectrograms
User Guide
Installation
Requirements
Install from PyPI
Install from Source
Optional: FFTW Backend
Quickstart
Basic Example
Understanding the Result
Mel Spectrogram
Next Steps
Choosing Parameters
STFT Parameters
FFT Size (n_fft)
Hop Size
Window Function
Centering
Default Configurations
Speech Processing
Music Processing
Mel Scale Parameters
Number of Mel Bands
Frequency Range
Decibel Conversion
ERB Scale
Performance Considerations
Memory Usage
Computation Time
Frequency Scales
Linear Scale
Mel Scale
ERB Scale
Constant-Q Transform
Scale Comparison
Choosing a Scale
Batch Processing
Why Use Plans?
Basic Usage
Creating Plans
Computing Spectrograms
Full Spectrogram
Single Frame
Output Shape Prediction
Performance Comparison
When to Use Plans
Memory Considerations
Audio Features
MFCC (Mel-Frequency Cepstral Coefficients)
Basic Usage
Standard Configuration
Custom Configuration
Chromagram
Basic Usage
Output
Standard Configuration
Normalization Options
Constant-Q Transform (CQT)
Basic Usage
Output
Configuration
Applications
Speech Recognition
Music Analysis
Audio Classification
API Reference
API Reference
Parameters
STFT Parameters
Spectrogram Parameters
Decibel Conversion
Frequency Scales
Mel Scale
ERB Scale
Constant-Q Transform
Audio Features
Chromagram
MFCC
Convenience Functions
Linear Spectrograms
Mel Spectrograms
ERB Spectrograms
Audio Features
Low-Level Functions
Planner API
Creating Plans
Plan Classes
Linear Plans
Mel Plans
ERB Plans
Results
Exceptions
spectrograms
API Reference
Results
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Results