Audio Processing
Course Index
32 Lessons · 3 Levels
Complete audio engineering in Python — librosa, PyDub, FFT, MFCC, Whisper STT, speaker diarization, TTS, music analysis, and the Web Audio API. Covers Wav2Vec, Encodec AI models, cloud speech APIs & 4 real audio pipeline builds.
32Lessons
3Levels
4Projects
FreeAccess
Level IAudio Fundamentals, Python Setup & AnalysisLessons 1–10
LESSON 01
Audio Processing: Global Overview
LESSON 02
Digital Audio: PCM & Sampling
LESSON 03
Audio Formats: WAV, MP3, FLAC & OGG
LESSON 04
Python Setup: librosa & PyDub
LESSON 05
Loading, Playing & Recording Audio
LESSON 06
Waveform Analysis & Visualization
LESSON 07
Fourier Transform & Spectrograms
LESSON 08
MFCC & Audio Feature Extraction
LESSON 09
FFmpeg for Audio Processing
LESSON 10
Audio Segmentation & Silence
Level IISpeech, Music & Real-Time ProcessingLessons 11–22
LESSON 11
Noise Reduction & Audio Denoising
LESSON 12
EQ, Compression & Audio Effects
LESSON 13
Speech-to-Text: OpenAI Whisper
LESSON 14
Cloud STT: AWS Transcribe & Azure
LESSON 15
Speaker Diarization
LESSON 16
TTS APIs & Neural Voices
LESSON 17
Music Info Retrieval: librosa
LESSON 18
Beat Detection & Tempo Analysis
LESSON 19
Audio Classification: torchaudio
LESSON 20
Sound Event Detection
LESSON 21
Web Audio API Processing
LESSON 22
Real-Time Audio Streaming
Level IIIAdvanced Topics, Cloud & ProjectsLessons 23–32
LESSON 23
Voice Activity Detection (VAD)
LESSON 24
Audio Watermarking & Fingerprinting
LESSON 25
Spatial Audio & Binaural Processing
LESSON 26
Audio AI: Wav2Vec & Encodec
LESSON 27
Podcast & Media Audio Pipeline
LESSON 28
Cloud Audio: AWS & GCP Speech APIs
LESSON 29
Build a Transcription Pipeline
LESSON 30
Build a Noise Cancellation Tool
LESSON 31
Build a Music Analysis Dashboard
LESSON 32
Build a Voice Assistant Backend