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ProClarity also contains several advanced views They re considered advanced because they go beyond the standard chart types to show data in a variety of ways that can aid analysis These views can be seen by clicking the small down arrow next to the View button on the toolbar The menu item Advanced Analysis Tools expands to show four options: Decomposition Tree, Internet Explorer, Performance Map, and Perspective Of these four options, the Internet Explorer view is not really a data analysis view in the same vein as the other three The Internet Explorer view simply opens a browser window and the developer can enter any URL, including ones that point to documents, images, and so forth This allows for a view that doesn t point to

Voice verification, voice recognition, and speech synthesis (text to speech) are all speech technologies that were made possible though the study and analysis of human speech production These technologies coevolved together with the advancement of computer science and digital signal processing Pioneering research efforts into speech technology were initially interested in voice recognition and speech synthesis Engineers and researchers sought to understand the mechanics of speech production as a means to synthesize speech The goal was (and still is) to instruct computers to understand, reproduce, and generate understandable speech to converse with computers and to have them understand Gunnar Fant, a Swedish engineer, published the first physiological model describing the acoustics of speech production in 1960 Fant s well-referenced model was based on a series of diagrams obtained by x-raying the head and vocal tract during the utterance of common vowel sounds and phonemes (components of speech)7 In the late 1960s and early 1970s Dr Joseph Perkell, currently a Senior Research Scientist at MIT, extended Fant s models by using x-ray motion pictures to trace outlines of the tongue and jaw8 Other laboratories participated in related projects during the 1960s, all striving to create a speech synthesizer as a computer output device (recall that punch cards were the alternative in those days) Notably, IBM Research Laboratory in San Jose, California, conducted a series of projects known as TASS (Terminal Analog Speech Synthesizer) TASS-II (1961 1967) read phonetically spelled punch cards and mapped them into diphones (vowel-consonant pairs), which were in turn fed to a digital-analog converter for audio output TASS-III (1967 1970) enhanced the basic functions to include graphic display and online diphone creation Ultimately, TASS-IV (1980 1985) realized the goal of text-to-speech through the concatenation of diphones9 By 1968, the intellectual underpinnings for realizing the first generation of speech synthesis, speaker recognition, and voice recognition, as depicted by HAL9000 in Stanley Kubrick s 2001 Space Odyssey, were all in place and starting to come together (The author acknowledges that HAL s artificial intelligence programming and bad attitude present an entirely different matter) In 1977, the United States Air Force, in conjunction with The MITRE Corporation, described and tested a prototype speaker recognition access control system developed by Texas Instruments The evaluation of the prototype system focused on establishing characteristic type I and type II error rates and used.

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338 for 151,762 total pixels in a picture frame This calculation is a good milestone and useful in comparing NTSC quality to other picture-making methods For color video transmission, the composite high-digitizing sampling rate at four times the chroma subcarrier frequency (4 fsc) can be used With NTSC, the digital signal can be broken down to the Y or luminance video signal sampled at 4 fsc, and the I and Q chroma signal sampled at 2 fsc When the Y signal and the chroma difference signals are digitized, Y is sampled at 4 fsc and the B-Y and R-Y at 2 fsc This method is known as 422 sampling The actual sampling is synchronized with the video signal chroma subcarrier, which is related to the horizontal scanning rate, thus establishing the sampling points on the video waveform The important point is that the greater number of picture-making elements of proper luminance and color, the better the picture quality This allows for larger screen sizes in which any picture distortions are ampli ed Each picture consists of a frame of pixels over the face of the screen with the position of each pixel xed in location The pixel locations on the screen form a matrix of vertical and horizontal pixels The relationship between horizontal and vertical pixels, aspect ratio, the frame rate, and bit rate is shown in Table 5-4 Of course, digital compression has to

G Fant, 1960, Acoustic Theory of Speech Production, Mouton and Co, The Hague, Netherlands Massachusetts Institute of Technology, 2002, MIT Speech Communications Group: History, http://webmitedu/speech/www/historyhtml D H Maxey, ed, 2002, Smithsonian Speech Synthesis History Project, http://wwwmindspringcom/~ssshp/ssshp_cd/ss_ibmhtm#TASS2

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