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smallest possible number of bits (almost always 9) When the number of codes becomes too large to be represented by the current code size, the code size is increased by 1 bit If the initial code size is 9, codes are output using 9 bits until code 512 is created Then the code size is automatically bumped up to 10 bits Likewise, after reaching 1024 it is increased to 11 bits Twelve bits is the maximum code size allowed by GIF When the code values reach 212-1, GIF encoders and decoders stop adding to the dictionary A GIF encoder can output a special clear code to instruct the decoder to reset the dictionary to its initial state An encoder may wish to output a clear code whenever it detects a situation where compression would be improved by using a new dictionary An obvious situation where this might be desirable is after the maximum code sized is reached Repeated clear codes are legal, but wasteful The value for the clear code is not fixed, but rather epends upon the minimum code size that followed the image header The minimum code size gives the number of bits used to encode the pixel data Usually this value is 8 bits per pixel, but pixel values for images that do not use 256 colors can be compressed using fewer bits Table 1211 shows the relationship of the minimum code size to the code usage within a GIF image The end code is used to mark the end of a compressed stream Dictionary Structure In the GIF compression and decompression examples we used an array of strings to represent the dictionary Normally the dictionary is represented as a tree structure Figure 127 shows how the strings generated from compressing the string ABABCABD can be arranged in a tree structure A code can be translated to a string by starting at the tree node for the code and working to the tree root Translating the code by walking the tree from a leaf to the root produces the string in reverse order In Figure 127, following the code 260 gives "DBA" A stack is used to put the string in the correct order While walking the tree, each time a leaf node is reached, the corresponding character is pushed on the stack When you reach the root of the tree, you pop characters off in the correct order The tree can be represented as an array of structures Since the maximum code length is 12 bits, the maximum number of tree nodes is 212 The size of the stack is also 212 characters.

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the application Next, the test subjects went through the application again while being videotaped No corrections were made to dictated text during the videotaping This allowed the tracking of voice dictation accuracy for each user with a new speech pro le Test subjects completed the entire process in an average of 2 hours Afterward, each test subject completed a questionnaire to determine user demographics, utility and quality performance, system interface, hardware, information management, and overall system satisfaction and importance This survey instrument also allowed the test subjects to record any problems and suggest improvements to the system Data with built-in intelligence techniques recorded any problems that the test subjects encountered in the survey instrument Autonomics were employed by the VAMTA development team, to document bugs in the tracking system, and targeted by the test architect for the appropriate problem solving action The performance of VAMTA during testing was measured in terms of voice accuracy, voice accuracy total errors, duration with data entry by voice, and duration with data entry by keyboard and mouse Viewed together, these statistics provide a snapshot of the accuracy, speed, and overall effectiveness of the VAMTA system Each test subject s printout was compared with a test script printout for accuracy When discrepancies occurred between the subject s printout and the test cript, the printouts were compared with the automated video recordings to determine whether the test subjects said the words properly, stuttered or mumbled words, and/or followed the test script properly Misrecognitions occurred when the test subject said a word properly and the speech program recorded the wrong word This automated regulatory environment provided a solid baseline for the lab experiments and led to the following results The accuracy of voice recognition, con rmed by videotaped records of test sessions, averaged 976%, with 6 misrecognitions (Table 41) The minimum average voice recognition was 85%, with 37 misrecognitions The maximum average voice recognition was 996% with 1 misrecognition Median voice recognition was 984%, with 4 misrecognitions.

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