Python Audio Processing: Enhancing Your Sound Projects with PyAudio and librosa

Photo by Pawel Czerwinski on Unsplash

Audio processing in Python has become increasingly popular for a wide range of applications, from speech recognition to music analysis. Two powerful libraries, PyAudio and librosa, provide developers with the tools needed to manipulate and analyze audio data efficiently.

In this article, we will explore how to use these libraries to work with audio files, extract features, and even create your own sound projects.

Getting Started with PyAudio

PyAudio is a Python library that provides bindings for PortAudio, a cross-platform audio I/O library. It allows you to play and record audio using simple Python scripts. To get started with PyAudio, you first need to install it using pip:

pip install pyaudio

Once installed, you can create a simple script to play a sound using PyAudio:

import pyaudio
import wave

chunk = 1024

wf = wave.open('sound.wav', 'rb')
p = pyaudio.PyAudio()

stream = p.open(format=p.get_format_from_width(wf.getsampwidth()),
                channels=wf.getnchannels(),
                rate=wf.getframerate(),
                output=True)

data = wf.readframes(chunk)

while data:
    stream.write(data)
    data = wf.readframes(chunk)

stream.stop_stream()…