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{ "item_title" : "Audio AI for Beginners", "item_author" : [" Victor Stroud "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/826/840/9798268406726_b.jpg", "price_data" : { "retail_price" : "14.99", "online_price" : "14.99", "our_price" : "14.99", "club_price" : "14.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Audio AI for Beginners|Victor Stroud

Audio AI for Beginners : Master Speech Recognition, Text-to-Speech, and Voice Cloning with Hands-On AI Projects

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Overview

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 Non-Returnable

Details

  • ISBN-13: 9798268406726
  • ISBN-10: 9798268406726
  • Publisher: Independently Published
  • Publish Date: October 2025
  • Dimensions: 9 x 6 x 0.39 inches
  • Shipping Weight: 0.55 pounds
  • Page Count: 182

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