Mastering Audio Automation with Python Programming

Faisal Zamir
Last Update June 3, 2024
0 already enrolled

About This Course

Unlock the full potential of audio automation with Python programming. This course delves into various techniques, from basic audio manipulation to advanced tasks like text-to-speech conversion, noise removal, and feature extraction, empowering you to automate audio processing tasks efficiently.

Learning Objectives

Perform basic audio editing tasks such as cutting, merging, adding, and converting audio files using Python.
Apply advanced audio effects like echo, reverb, noise removal, volume adjustment, fade in/out, and reverse using Python scripts.
Explore text-to-speech conversion techniques with both male and female voices, and save the generated audio files.
Extract text from audio, read image text, download YouTube videos as audio, and convert videos to audio files using Python.

Material Includes

  • Videos
  • Notes
  • Source code
  • Audioes as input

Requirements

  • Basic knowledge of Python programming language.
  • Familiarity with audio file formats and concepts such as bitrate, sample rate, etc., is helpful but not mandatory.
  • Installation of necessary Python libraries such as PyDub, SpeechRecognition, PyAudio, etc.
  • Access to a computer with Python installed (Python 3.x recommended).
  • Eagerness to explore and experiment with audio processing tasks using Python scripts provided in the course.

Target Audience

  • Python developers interested in audio processing and automation.
  • Sound engineers and music producers looking to automate repetitive audio tasks.
  • Data scientists and analysts exploring audio data analysis and feature extraction.
  • Individuals interested in exploring the intersection of Python programming and audio manipulation for various applications.

Your Instructors

Faisal Zamir

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Mastering Audio Automation with Python Programming jAFRIcODE copy

 6 19

68% off
Level
All Levels
Duration 2 hours
Language
English

Material Includes

  • Videos
  • Notes
  • Source code
  • Audioes as input
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