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Mobile speech and advanced natural language solutions
Mobile Speech and Advanced Natural Language Solutions provides a comprehensive and forward-looking treatment of natural speech in the mobile environment. This fourteen-chapter anthology brings together lead scientists from Apple, Google, IBM, AT&T, Yahoo! Research and other companies, along with...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2013
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-1-4614-6018-3 http://cds.cern.ch/record/1522338 |
Sumario: | Mobile Speech and Advanced Natural Language Solutions provides a comprehensive and forward-looking treatment of natural speech in the mobile environment. This fourteen-chapter anthology brings together lead scientists from Apple, Google, IBM, AT&T, Yahoo! Research and other companies, along with academicians, technology developers and market analysts. They analyze the growing markets for mobile speech, new methodological approaches to the study of natural language, empirical research findings on natural language and mobility, and future trends in mobile speech. Mobile Speech opens with a challenge to the industry to broaden the discussion about speech in mobile environments beyond the smartphone, to consider natural language applications across different domains. Among the new natural language methods introduced in this book are Sequence Package Analysis, which locates and extracts valuable opinion-related data buried in online postings; microintonation as a way to make TTS truly human-like; and several models of truly-intelligent mobile personal-assistants. The empirical studies in this volume include two grounding frameworks for designing mobile interfaces capable of engaging in human-like interaction with users. The book concludes with a discussion of “supernatural dialogues” that blend music, space, and other domains with traditional elements of natural language processing. Mobile Speech and Advanced Natural Language Solutions is designed for speech engineers, system developers, linguists, cognitive scientists, and others interested in utilizing natural-language technology in diverse applications. |
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