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This book is a comprehensive, production-focused guide to building Automatic Speech Recognition (ASR) applications from the ground up. It covers the complete signal chain, with deep emphasis on Voice Activity Detection as the critical pre-processing step that determines what the ASR model actually sees. You will learn how to select and fine-tune state-of-the-art open-source models, design streaming and batch inference pipelines, deploy to production at scale, and continuously benchmark quality. Every chapter includes practical code examples, implementation walkthroughs, and references to leading open-source frameworks like Whisper, Vosk, ESPnet, SpeechBrain, and more. Whether you are building a voice assistant, a live captioning service, or a medical transcription pipeline, this book gives you the architectural knowledge and engineering judgment needed to ship a robust ASR system.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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