Note: Students enrolled in the online version of TCM1603 at Austin Community College, please take the reading quiz on this chapter. (Anybody else is welcome to try it as well.)
Descriptive Abstracts
The descriptive abstract provides a description of the report's main topic and
purpose as well an overview of its contents. As you can see from the example in
Figure 10-1, it is very short--usually a brief one- or two-sentence paragraph. In this
report design, it appears on the title page. You may have noticed something similar
to this type of abstract at the beginning of journal articles.
In this type of abstract, you don't summarize any of the facts or conclusions of the report. The descriptive abstract does not say something like this:
Problem: Based on an exhaustive review of currently available products, this report concludes that none of the available grammar-checking software products provides any useful function to writers.This is the style of summarizing you find in the informative abstract. Instead, the descriptive abstract says something like this:
Revision: This report provides conclusions and recommendations on the grammar-checking software that is currently available.The descriptive abstract is little like a program teaser. Or, to use a different analogy, it like major first-level headings of the table of contents have been rewritten in paragraph format.
Figure 10-1. Descriptive abstract on report title page.
Informative Abstracts
The informative abstract, as its name implies, provides information from the body of
the report--specifically, the key facts and conclusions. To put it another way, this
type of abstract summarizes the key information from every major section in the
body of the report.
It is as if someone had taken a yellow marker and highlighted all the key points in the body of the report then vaccuumed them up into a one- or two-page document. (Of course, then some editing and rewriting would be necessary to make the abstract readable.) Specifically, the requirements for the informative abstract are as follows:
Informative: Based on an exhaustive review of currently available products, this report concludes that none of the available grammar-checking software products provides any useful function to writers. Descriptive: This report provides conclusions and recommendations on the grammar-checking software that is currently available.
ABSTRACT Computerized speech recognition takes advantage of the most natural form of communication, the human voice. During speech, sound is generated by the vo cal cords and by air rushing from the lungs. If the vocal cords vibrate, a voiced sound is produced; otherwise, the sound is unvoiced. The main problem in speech recognition is that no two voices produce their sounds alike and that an individual voice va- ries in different conditions. Because voices do vary and because words blend together in a continuous stream in natural speech, most recognition systems require that each speaker train the machine to his or her voice and that words have at least one-tenth of a second pause between them. Such a system is called an isolated word recognition system and con sists of three major components that process human speech: (1) the preprocessor which removes irregula rities from the speech signal and then breaks it up into parts; (2) the feature extractor which extracts 32 key features from the signal; and (3) the classification phase which identifies the spoken word and includes the training mode and reference pattern memory. Spoken words are identified on the basis of a certain decision algorithm, some of which involve dynamic programming, zero crossing rate, linear pre- dictive coding, and the use of state diagr Voice recognition systems offer many applications including data entry, freedom for mobility, security uses, telephone access, and helpful devices for the handicapped. However, these same systems also face problems such as poor recognition accuracy, loss of privacy among those who use them, and limited vocab ulary sizes. The goal of the industry is the devel opment of speaker-independent systems that can rec ognize continuous human speech regardless of the speaker and that can continually improve their vo- cabulary size and recognition accuracy.