Journal Title COMPUTER SPEECH AND LANGUAGE
ISSN 0885-2308
Aim/Scope/Research Area This online version of the print journal of the same name is published by Academic Press, Inc. through a program titled IDEAL (International Digital Electronic Access Library). Computer Speech & Language publishes papers of original research related to quantitative descriptions of the recognition, understanding, production, and coding of speech by humans and/or machines.

The speech sciences have a long history, but it is only relatively recently that experimentation with complex models of speech processes has become feasible. At present such research is carried out somewhat separately by practitioners of artificial intelligence, computer science, electronic engineering, linguistics, phonetics, and psychology.

The journal provides a focus for this work, and encourages an interdisciplinary approach to problems in the speech sciences. Thus contributions from all of the related disciplines are welcomed in the form of reports of theoretical or experimental studies, tutorials, and brief correspondence pertaining to models of speech communication and their implementation, or reports of fundamental research leading to the improvement of such models.

Research Areas Include:
Algorithms for pattern analyses
Computer simulations
Establishment of models of human performance
Syntactic and linguistic structures
Use of computers in measurements
Use of constructive mathematical analyses

Some articles appearing in the October 1996 issue of the Journal include:
'Modelling of the interframe dependence in an HMM using conditional
Gaussian mixtures', 'Mean and variance adaptation within the MLLR
framework', and 'Stochastic automata for language modeling'.

Subscription to this electronic journal involves licensing agreements with academic and industrial networks or consortia of libraries and can not be done on a personal or even title by title basis. However, the table of contents and article abstracts for each issue are available online free-of-charge. Articles are provided to members of subscriber institutions in Adobe Acrobat Portable Document Format.
Frequency of Journals Yearly
Weblink http://old.library.georgetown.edu/newjour/c/msg02360.html
Publisher Science Direct

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