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Speech & Audio AI: Speech & Audio Processing

Comprehensive AI for Speech & Audio course — from audio signal processing, Speech Recognition (ASR) with Whisper, Text-to-Speech (TTS) with VITS, Voice Cloning, Speaker Verification, to Music AI. Practice with Python, PyTorch, Hugging Face, librosa, and state-of-the-art models.

Part 1: Audio & Signal Processing Foundations

Lesson 1: Digital Audio & Signal Processing Fundamentals120 minLesson 2: Audio Feature Extraction — MFCC, Mel & Chromagram120 minLesson 3: Audio Classification & Sound Event Detection150 min

Part 2: Speech Recognition (ASR) — Speech Recognition

Lesson 4: ASR Architecture — CTC, Attention & Transducer150 minLesson 5: Whisper & Modern ASR — OpenAI Whisper Deep Dive180 minLesson 6: Real-time ASR & Streaming Speech Recognition150 min

Part 3: Text-to-Speech & Voice Technologies

Lesson 7: Text-to-Speech — Tacotron2, VITS & Modern TTS180 minLesson 8: Voice Cloning & Zero-shot TTS150 minLesson 9: Speaker Verification & Diarization150 min

Part 4: Advanced Audio AI & Production

Lesson 10: Speech Enhancement & Source Separation120 minLesson 11: Music AI — Generation, Analysis & Transcription150 minLesson 12: Emotion Recognition & Sentiment from Speech120 minLesson 13: Vietnamese Speech AI — ASR & TTS Vietnamese180 minLesson 14: Deploy Speech AI — Production Pipeline150 minLesson 15: Capstone — Voice Assistant End-to-End240 min