Speech Recognition A-Z with Hands-On

Get to grips with speech recognition, one of the most advanced and promising branches in artificial intelligence and machine learning About This Video Understand what speech processing is and explore the different types of speech recognition Explore the complexities of speech recognition Understand...

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Detalles Bibliográficos
Otros Autores: Limited, Learnkart, author (author)
Formato: Video
Idioma:Inglés
Publicado: Packt Publishing 2020.
Edición:1st edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630815806719
Descripción
Sumario:Get to grips with speech recognition, one of the most advanced and promising branches in artificial intelligence and machine learning About This Video Understand what speech processing is and explore the different types of speech recognition Explore the complexities of speech recognition Understand the difference between acoustic phonetics and articulatory phonetics In Detail Are you intrigued by how speech recognition is driving the growth of the AI market? This course is a reliable guide if you’re looking to pursue a career as a speech recognition professional and understand industry best practices. You’ll learn the science of applying machine learning algorithms to process large amounts of speech data. As you progress, the course will get you up to speed with automated speech recognition. Later, you’ll delve into speech translation, understanding how to work through speech-to-speech translation. Toward the concluding sections, you’ll focus on voice conversion, exploring everything from Phonetic SID System to speaker identification. Throughout the course, you’ll encounter practice questions to help you reinforce your knowledge. By the end of this course, you’ll be well-versed with speech recognition and be able to apply what you’ve learned in the real world.
Notas:Title from resource description page (Safari, viewed November 9, 2020).
Descripción Física:1 online resource (1 video file, approximately 5 hr., 17 min.)