Voice Into Text
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Voice into Text
This volume deals with orality and literacy in ancient Greece and what consideration of these areas yields for that society, its literature, traditions and practices. Individual chapters focus on art, comedy, historiography, oratory, religion, rhetoric, philosophy, poetry, tragedy, and on orality in contemporary cultures (Greek and South African), which have a bearing on the ancient world. By considering such factors as oral elements in various genres and practices and how these have shaped the texts we have today, as well as the extent of literacy and the impact of literacy on oral traditions and on singers/writers, the book presents another insight into ancient Greek society and its people.
Adapted Voices
Voyage au bout de la nuit (1932), by Louis-Ferdinand Celine (1894-1961), and Zazie dans le metro (1959), by Raymond Queneau (1903-1976), were two revolutionary novels in their transposition of spoken language into written language. Since their publication they have been adapted into a broad range of media, including illustrated novel, bande dessinee, film, stage performance and recorded reading. What happens to their striking literary voices as they are transposed into media that combine text and image, sound and image, or consist of sound alone? In this study, Armelle Blin-Rolland examines adaptations sparked by these two seminal novels to understand what 'voice' means in each medium, and its importance in the process of adaptation.
Voice Recognition
""Voice Recognition"" demystifies how machines understand and respond to spoken language, a technology increasingly vital in our daily lives. The book explores the convergence of artificial intelligence, particularly deep learning, and semantics that enables voice-controlled devices. Readers will discover how systems convert speech into text or commands, a process reliant on acoustic modeling and language modeling. A key insight is the impact of massive speech datasets on improving accuracy and adaptability, though biases within these datasets also present challenges. The book takes a structured approach, starting with the historical evolution of voice recognition and fundamental concepts like phonetics and natural language processing. It progresses by dissecting the core components of voice recognition systems, including algorithms for speech and speaker recognition, and the deep learning architectures that power them. Ethical considerations, such as privacy and algorithmic bias, are addressed, alongside practical applications in healthcare, education, and customer service, providing a balanced view of the technology's capabilities and limitations. What sets this book apart is its focus on real-world deployment challenges, such as handling background noise and diverse accents. By adopting a factual writing style and avoiding unnecessary jargon, the book makes complex concepts accessible to students, developers, researchers, and anyone seeking a deeper understanding of this rapidly evolving field. This allows readers to critically assess the capabilities and limitations of voice-controlled technology.