Audio Visual Speech Recognition: Advancements, Applications, and Insights

· Computer Vision Część 74 · One Billion Knowledgeable · Narrator AI: Maxwell (od Google)
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What is Audio Visual Speech Recognition


Audio visual speech recognition (AVSR) is a technique that uses image processing capabilities in lip reading to aid speech recognition systems in recognizing undeterministic phones or giving preponderance among near probability decisions.


How you will benefit


(I) Insights, and validations about the following topics:


Chapter 1: Audio-visual speech recognition


Chapter 2: Data compression


Chapter 3: Speech recognition


Chapter 4: Speech synthesis


Chapter 5: Affective computing


Chapter 6: Spectrogram


Chapter 7: Lip reading


Chapter 8: Face detection


Chapter 9: Feature (machine learning)


Chapter 10: Statistical classification


(II) Answering the public top questions about audio visual speech recognition.


(III) Real world examples for the usage of audio visual speech recognition in many fields.


Who this book is for


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Audio Visual Speech Recognition.

O autorze

Fouad Sabry is the former Regional Head of Business Development for Applications at HP. Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual master’s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. Fouad has more than 30 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM. Fouad joined HP in 2013 and helped develop the business in tens of markets. Currently, Fouad is an entrepreneur, author, futurist, and founder of One Billion Knowledge (1BK) Initiative.

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