# audio_dspy

**Repository Path**: schou0419/audio_dspy

## Basic Information

- **Project Name**: audio_dspy
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-05-19
- **Last Updated**: 2024-05-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Audio DSPy

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audio_dspy is a Python package for audio signal processing tools.

Current tools include:
- EQ filter design
- Nonlinear Processors
- Sine Sweep Tools
- Plotting Frequency Responses and Static Curves
- Converting transfer functions to minimum or linear phase
- Prony's method, and Prony's method with frequency warping
- Modal modelling tools

Install using `pip`:
```bash
pip install audio-dspy
```

## Examples

```python
import audio_dspy as adsp
import matplotlib.pyplot as plt

# Plot nonlinear static curves
adsp.plot_static_curve (lambda x : adsp.hard_clipper (x), range=2.5)
adsp.plot_static_curve (lambda x : adsp.soft_clipper (x), range=2.5)
plt.title ('Comparing Nonlinearities')
plt.legend (['Hard Clipper', 'Soft Clipper'])
```

![Pic](docs/examples/nonlins.png)

```python
# Design and plot EQ filters
fs = 44100
b, a = adsp.design_lowshelf (800, 2.0, 2, fs)
adsp.plot_magnitude_response (b, a, fs=fs)
plt.title ('Low Shelf Filter')
```
![Pic](docs/examples/lowshelf.png)

```python
# Perform level detection
from scipy.io import wavfile

fs, x = wavfile.read('drums.wav')
x = adsp.normalize(x[:,0]) # only take left channel, normalize
plt.plot(x, label='input')

for mode in ['peak', 'rms', 'analog']:
    y = adsp.level_detect(x, fs, mode=mode)
    plt.plot(y, label=mode)

plt.title('Level Detection Example')
plt.xlabel('Time [samples]')
plt.legend()
```

![Pic](docs/examples/level_detect.png)