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Talking to Machines

Geller, Tom

Association for Computing Machinery. Communications of the ACM, Apr 2012, Vol.55(4), p.14 [Tạp chí có phản biện]

ISSN: 00010782

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  • Nhan đề:
    Talking to Machines
  • Tác giả: Geller, Tom
  • Chủ đề: United States–Us ; Voice Recognition ; Technology Adoption ; Smartphones ; Research & Development–R&D ; United States ; Software & Systems ; Research & Development
  • Là 1 phần của: Association for Computing Machinery. Communications of the ACM, Apr 2012, Vol.55(4), p.14
  • Mô tả: When Apple integrated Siri into the iOS operating system last October, it spurred iPhone owners to start talking to their phones as well as through them. More than four million iPhone 4S' featuring Siri were sold during its first weekend. Siri represents an important moment when voice recognition, information management, artificial intelligence, task fulfillment, and user interface marry in a way the general public finds usable and productive. There is a long road between the spoken command and its fulfillment, though. The first step in the process is to convert the audio of speech into meaning. The two main applications of speech recognition -- dictation and command recognition -- have forced researchers to pursue parallel methods that balance vocabulary, accent, and context needs. And Siri switches from command to dictation mode when appropriate. But voice recognition is only a small part of the puzzle. Neither a robust ontology nor high-speed voice recognition are possible without substantial data as input.
  • Ngôn ngữ: English
  • Số nhận dạng: ISSN: 00010782

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