Articulation and intelligibility [electronic resource] / Jont B. Allen
- Author
- Allen, J. B., 1942-
- Published
- San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, [2005]
- Copyright Date
- ©2005
- Edition
- 1st ed.
- Physical Description
- 1 electronic text (xiii, 124 pages : illustrations) : digital file
Access Online
- Abstract with links to resource: ezaccess.libraries.psu.edu
- Series
- Restrictions on Access
- Abstract freely available; full-text restricted to subscribers or individual document purchasers.
- Contents
- Introduction -- Problem statement -- Basic definitions and abbreviations -- Modeling HSR Outline -- Articulation -- Fletcher and Galt (1950) -- French and Steinberg (1947) -- Effects of chance and context -- Miller et al circa 1947-2001 -- Transformation from the wideband SNR to the AI -- Singular value decompositions of the AM symmetric form -- Validation of the AI -- Criticisms of articulation models -- Intelligibility -- Boothroyd (1968-2002) -- Bronkhorst et al (1993) -- Truncation experiments and coarticulation, Furui (1986) -- Van Petten et al (1999) -- Discussion with historical context -- ASR versus HSR.
- Summary
- Immediately following the Second World War, between 1947 and 1955, several classic papers quantified the fundamentals of human speech information processing and recognition. In 1947 French and Steinberg published their classic study on the articulation index. In 1948 Claude Shannon published his famous work on the theory of information. In 1950 Fletcher and Galt published their theory of the articulation index, a theory that Fletcher had worked on for 30 years, which integrated his classic works on loudness and speech perception with models of speech intelligibility. In 1951 George Miller then wrote the first book Language and Communication, analyzing human speech communication with Claude Shannon's just published theory of information. Finally in 1955 George Miller published the first extensive analysis of phone decoding, in the form of confusion matrices, as a function of the speech-to-noise ratio. This work extended the Bell Labs' speech articulation studies with ideas from Shannon's Information theory. Both Miller and Fletcher showed that speech, as a code, is incredibly robust to mangling distortions of filtering and noise.
- Subject(s)
- ISBN
- 1598290088 (electronic bk.)
- Related Titles
- Synthesis digital library of engineering and computer science
- Note
- Part of: Synthesis digital library of engineering and computer science.
Title from PDF t.p. (viewed on Oct. 24, 2008).
Series from website.
AUTH: UNIVERSITY OF ILLINOIS, CHAMPAIGN-URBANA. DISCUSSES THEORY OF HUMAN SPEECH RECOGNITION. - Bibliography Note
- Includes bibliographical references (pages 115-122).
- Other Forms
- Also available in print.
- Technical Details
- Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader. - Indexed By
- Compendex
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