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Audio AI for Beginners: Master Speech Recognition, Text-to-Speech, and Voice Cloning with Hands-On AI Projects: 1 (The Audio AI Revolution) - Tapa blanda

Libro 1 de 2: The Audio AI Revolution

Stroud, Victor

 
9798268406726: Audio AI for Beginners: Master Speech Recognition, Text-to-Speech, and Voice Cloning with Hands-On AI Projects: 1 (The Audio AI Revolution)

Sinopsis

Audio AI for Beginners turns theory into working systems. If you want to build accurate speech recognition, create expressive TTS, or clone voices responsibly — and ship those systems to users — this book is your fast, factual roadmap.

Start with signal fundamentals (sampling, spectrograms, MFCCs), then move straight into practical workflows: run Whisper locally, fine-tune a TTS pipeline with Coqui, extract speaker embeddings, and prototype zero-shot voice cloning. Each chapter includes step-by-step projects, code links, and production checklists so you can move from prototype to deployment without guesswork.

What makes this different:
• Hands-on projects — 6 reproducible builds (ASR, TTS, cloning, voice-preserving translation, a low-latency assistant and a privacy-first on-device demo).
• Production playbooks — latency budgets, model optimization, and deployment recipes for on-device and cloud.
• Ethics & governance — consent templates, watermarking strategies, and risk-checks you can implement today.
• Resources included — GitHub code, dataset pointers, and quick-start scripts for local experiments.

Whether you’re an engineer, product lead, or curious practitioner, this book gives you the vocabulary, code, and real-world practices to build trustworthy audio AI. Skip the hype — build reliable, responsible voice systems that work in the wild.

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