Learn OpenAI Whisper

• Verfasst von: Batista, Josué R. [VerfasserIn]
• Titel: Learn OpenAI Whisper
• Titelzusatz: Transform Your Understanding of GenAI Through Robust and Accurate Speech Processing Solutions
• Mitwirkende: Papile, Christopher [MitwirkendeR]
• Verlagsort: Birmingham
• Verlag: Packt Publishing, Limited
• Jahr: 2024
• Umfang: 1 online resource (372 p.)
• Fussnoten: Description based upon print version of record. - Gaining insights into data, annotation, and model training
• ISBN: 978-1-83508-749-7
• ISBN: 1-83508-749-3
• ISBN: 978-1-83508-592-9
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Intelligence artificielle
• Sach-SW: Reconnaissance automatique de la parole
• Sach-SW: Traitement automatique des langues naturelles
• Sach-SW: artificial intelligence
• K10plus-PPN: 1892760991
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4544448913
• Lokale URL Inst.: Zum Volltext

Abstract

As 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.