https://github.com/charlesaverill/np_sound

A NumPy-based sound library for Python
https://github.com/charlesaverill/np_sound

Last synced: about 6 hours ago
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A NumPy-based sound library for Python

• Host: GitHub
• URL: https://github.com/charlesaverill/np_sound
• Owner: CharlesAverill
• Created: 2020-09-19T02:42:44.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2020-09-20T04:05:43.000Z (about 4 years ago)
• Last Synced: 2024-11-01T03:35:49.575Z (14 days ago)
• Language: Python
• Homepage:
• Size: 1.47 MB
• Stars: 2
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# NPSound

A collection of simple audio modification methods based on NumPy.

## Supported Formats

- .wav

## Installation

`pip install np-sound`

## Usage

```python

from np_sound import NPSound

sound = NPSound("soundfile.wav")

# Plot soundfile.wav with the title "NPSound Demo"

sound.plot(title="NPSound Demo")

# Reverse the section of audio from 1.5s to 3s

# NPSound objects are immutable, so the 'sound' object will be unchanged

reversed_audio = sound.reverse((1.5, 3))

reversed_audio.plot()

# Amplify the entire audio file by 50% and plot it

sound.amplify(50).plot(title="Amplified by 50%")

# Concatenate 'sound' with its mirrored version and write to a new sound file

mirror = sound + sound.reverse()

mirror.write("mirrored.wav")

# Plot 5 copies of 'sound' side by side

(sound * 5).plot()

# Plot a 50% softened 'sound' on top of the original 'sound'

sound.plot(layered_plots=[sound.amplify(-50)])

# Plot a 'sound' object padded with 5.5s of empty data on either end below the original 'sound'

sound.plot(adjacent_plots=[sound.pad((5.5, 5.5))])

# Trim audio on both ends so that the first and last values are above 100

sound.clip_at_threshold(100)

```