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|a eng
|2 639-2
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|a Batista, Josué R..
|4 aut.
|e Auteur
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|a Learn OpenAI Whisper :
|b Transform your understanding of GenAI through robust and accurate speech processing solutions
|c Josué R. Batista ; [Foreword by Christopher Papile].
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|a Birmingham :
|b Packt Publishing.
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|a Paris :
|b Cyberlibris,
|c 2024.
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|a Couverture (https://static2.cyberlibris.com/books_upload/136pix/9781835087497.jpg).
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|a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement
|e Cyberlibris
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|a Master automatic speech recognition (ASR) with groundbreaking generative AI for unrivaled accuracy and versatility in audio processing Key FeaturesUncover the intricate architecture and mechanics behind Whisper's robust speech recognitionApply Whisper's technology in innovative projects, from audio transcription to voice synthesisNavigate the practical use of Whisper in real-world scenarios for achieving dynamic tech solutionsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAs the field of generative AI evolves, so does the demand for intelligent systems that can understand human speech. Navigating the complexities of automatic speech recognition (ASR) technology is a significant challenge for many professionals. This book offers a comprehensive solution that guides you through OpenAI's advanced ASR system. You'll begin your journey with Whisper's foundational concepts, gradually progressing to its sophisticated functionalities. Next, you'll explore the transformer model, understand its multilingual capabilities, and grasp training techniques using weak supervision. The book helps you customize Whisper for different contexts and optimize its performance for specific needs. You'll also focus on the vast potential of Whisper in real-world scenarios, including its transcription services, voice-based search, and the ability to enhance customer engagement. Advanced chapters delve into voice synthesis and diarization while addressing ethical considerations. By the end of this book, you'll have an understanding of ASR technology and have the skills to implement Whisper. Moreover, Python coding examples will equip you to apply ASR technologies in your projects as well as prepare you to tackle challenges and seize opportunities in the rapidly evolving world of voice recognition and processing.What you will learnIntegrate Whisper into voice assistants and chatbotsUse Whisper for efficient, accurate transcription servicesUnderstand Whisper's transformer model structure and nuancesFine-tune Whisper for specific language requirements globallyImplement Whisper in real-time translation scenariosExplore voice synthesis capabilities using Whisper's robust techExecute voice diarization with Whisper and NVIDIA's NeMoNavigate ethical considerations in advanced voice technologyWho this book is forLearn OpenAI Whisper is designed for a diverse audience, including AI engineers, tech professionals, and students. It's ideal for those with a basic understanding of machine learning and Python programming, and an interest in voice technology, from developers integrating ASR in applications to researchers exploring the cutting-edge possibilities in artificial intelligence
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|a Papile, Christopher.
|4 aui.
|e Préface
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