Literature DB >> 7479719

Deployment of human-machine dialogue systems.

D B Roe1.   

Abstract

The deployment of systems for human-to-machine communication by voice requires overcoming a variety of obstacles that affect the speech-processing technologies. Problems encountered in the field might include variation in speaking style, acoustic noise, ambiguity of language, or confusion on the part of the speaker. The diversity of these practical problems encountered in the "real world" leads to the perceived gap between laboratory and "real-world" performance. To answer the question "What applications can speech technology support today?" the concept of the "degree of difficulty" of an application is introduced. The degree of difficulty depends not only on the demands placed on the speech recognition and speech synthesis technologies but also on the expectations of the user of the system. Experience has shown that deployment of effective speech communication systems requires an iterative process. This paper discusses general deployment principles, which are illustrated by several examples of human-machine communication systems.

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Mesh:

Year:  1995        PMID: 7479719      PMCID: PMC40728          DOI: 10.1073/pnas.92.22.10017

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  10 in total

1.  User interfaces for voice applications.

Authors:  C Kamm
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-24       Impact factor: 11.205

2.  Speech technology in 2001: new research directions.

Authors:  B S Atal
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-24       Impact factor: 11.205

3.  Integration of speech with natural language understanding.

Authors:  R C Moore
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-24       Impact factor: 11.205

4.  What does voice-processing technology support today?

Authors:  R Nakatsu; Y Suzuki
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-24       Impact factor: 11.205

5.  Models of natural language understanding.

Authors:  M Bates
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-24       Impact factor: 11.205

6.  Linguistic aspects of speech synthesis.

Authors:  J Allen
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-24       Impact factor: 11.205

7.  State of the art in continuous speech recognition.

Authors:  J Makhoul; R Schwartz
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-24       Impact factor: 11.205

8.  Models of speech synthesis.

Authors:  R Carlson
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-24       Impact factor: 11.205

9.  New trends in natural language processing: statistical natural language processing.

Authors:  M Marcus
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-24       Impact factor: 11.205

10.  Voice-processing technologies--their application in telecommunications.

Authors:  J G Wilpon
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-24       Impact factor: 11.205

  10 in total
  1 in total

1.  Speech technology in 2001: new research directions.

Authors:  B S Atal
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-24       Impact factor: 11.205

  1 in total

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