ISBN: 9798268406726 - audio ai for beginners: master speech recognition, text-to-speech, and voice cloning with hands-on ai projects: 1 (the audio ai revolution) (9 resultados)

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Condición: As New. Unread book in perfect condition.

Paperback. Condición: new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…