Audio Processing

Audio processing is a field of signal processing that involves the manipulation, analysis, and synthesis of audio signals. It encompasses techniques for recording, editing, compressing, and enhancing sound using digital or analog methods. This includes applications like noise reduction, audio effects, speech recognition, and music production.

Also known as: Audio Signal Processing, Sound Processing, Digital Audio Processing, Audio DSP, Audio Engineering

Why learn Audio Processing?

Developers should learn audio processing for building applications in multimedia, gaming, telecommunications, and AI-driven voice interfaces. It's essential for creating features like real-time audio filtering, music streaming services, podcast editing tools, and speech-to-text systems, where precise control over sound data is required.

Learning Resources

• course: Introduction to Audio Signal Processing
• docs: Web Audio API Documentation
• video: Real-Time Audio Signal Processing in C++
• tutorial: Audio Processing with Python
• book: Digital Audio Processing Fundamentals