Ahmed Bouzid, Weiye Ma

Elements of Voice First Style (eBook, PDF)

• Format: PDF

Produktbeschreibung

If you're a new or experienced designer of conversational voice first experiences, this handy reference provides actionable answers to key aspects of eyes-busy, hands-busy, voice-only user interfaces. Designed as a companion to books about conversational voice design, this guide includes important details regarding eyes-free, hands-free, voice-only interfaces delivered by Amazon Echo, Google Nest, and a variety of in-car experiences.Authors Ahmed Bouzid and Weiye Ma provide far-field voice best practices and recommendations in a manner similar to The Elements of Style, the popular American English writing style guide. Like that book, The Elements of Voice First Style provides direct, succinct explanations that focus on the essence of each topic. You'll find answers quickly without having to spend time searching through other sources.With this guide, you'll be able to:Craft just the right language to enable your voicebot to effectively communicate with humansCreate conversational voice interfaces that are robust enough to handle errors and failuresDesign highly usable conversational voice interfaces by paying attention to small details that can make or break the experienceBuild a design for a voice-only smart speaker that doesn't require customers to use their eyes or hands

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Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 278
• Erscheinungstermin: 16. Mai 2022
• Englisch
• ISBN-13: 9781098119560
• Artikelnr.: 72456923

Autorenporträt

Dr. Ahmed Bouzid is Founder and CEO of Witlingo, a McLean, Virginia, based startup that builds products and solutions to help brands establish and grow their Voice and Social Audio presence. Prior to Witlingo, Dr. Bouzid was Head of Echo Smart Home Product at Amazon and VP of Product and Innovation at Genesys. Dr. Bouzid is an Ambassador at the Open Voice Network and Advisor for The Human Language Technology Group at Georgetown University. Dr. Bouzid holds 12 patents in the Speech Recognition and Natural Language Processing field and was recognized as a Speech Luminary by Speech Technology Magazine.