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Introduction to Voice Computing in Python
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About Introduction To Voice Computing In Python
Product Description It’s an exciting time to be a developer in the voice computing space: 1 in 4 searches on Google are now voice-enabled, Amazon Alexa just passed 10,000 skills, and 100 million calls are completed on WhatsApp daily. But where do you go to start learning how to code in this field? Whether you are a veteran developer or just starting out, this book guides you through the process of building voice-based applications in Python. Understand how to read/write, record, clean, encrypt, playback, transcode, transcribe, compress, publish, featurize, model, and visualize voice files Build your own voice computer and voice assistant from scratch Design cutting-edge microservice server architectures on top of Docker and Kubernetes Get access to 200+ starter scripts in a GitHub repository Become involved in the larger open source voice community Review "I like the fact that there's a lot of code samples right after new concepts in the book are introduced. With this structure, I was able to quickly featurize and build machine learning models for voice datasets. The book is also filled with rich tables and visualizations; it's hard to find information like this in one place." - Larry Zhang, Software engineer @ NVIDIA "I've been looking for a textbook for voice computing for several years now. In academic research I have struggled at times putting together material to efficiently orient new undergraduates, graduates, post-docs, and even other faculty to the field. A book like this is valuable to anyone doing work related to voice computing given the rapid growth in a brief period has outpaced the conventional channels to share this new knowledge. I will recommend this book to everyone I encounter who is aiming to do any work in voice computing." - Reza Hosseini Ghomi (MD/MSE), Director of the DigiPsych Lab @ University of Washington "Collecting voice has many layers and challenges, Jim has successfully navigated the "do's and dont's" into an easy guide for starters and seasoned voice collectors. I highly recommend this book if you need to collect great quality of voice, but need those voice files to produce great data at all levels. This book accomplishes all of that and then some." - James Fairey, Audio Director of Production, Entercom Communications "This book provides an extraordinarily thorough overview of the entire field of speech technologies. Jim's practical ingenuity shines as he guides us through all the technical components and design choices involved in building a voice assistant. Microphone types, audio features for machine learning, a scalable backend via containerized microservices, security and ethical considerations, and much more, is all covered in this hands-on guide replete with working code. Use it to get your hands dirty in this exciting field -- and even as a blueprint to create your own speech tech startup!" - Marsal Gavalda, PhD, Head of Machine Learning, Commerce Platform, Square About the Author Jim is the founding CEO of NeuroLex Labs, a company with the goal to make voice computing accessible to everyone. Previously, Jim was a founding Partner of NeuroLaunch and CyberLaunch which invested in and grew over 22 companies in the neuroscience, cybersecurity, and machine learning verticals. For his work, Jim was awarded the Alvin M. Ferst Leadership and Entrepreneurship Award. Jim holds a B.S. in Biomedical Engineering from Georgia Tech.
