Patent
System and method for improving the accuracy of a speech recognition program
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TLDR
In this article, a speech recognition system that automatically converts a pre-recorded audio file into a written text is described. But the system is based on a speech-to-text conversation.Abstract:
A system and method for quickly improving the accuracy of a speech recognition program. The system is based on a speech recognition program that automatically converts a pre-recorded audio file into a written text. The system parses the written text into segments, each of which is corrected by the system and saved in a retrievable manner in association with the computer. The standard speech files are saved towards improving accuracy in speech-to-text conversation by the speech recognition program. The system further includes facilities to repetitively establish an independent instance of the written text from the pre-recorded audio file using the speech recognition program. This independent instance can then be broken into segments and each segment in said independent instance replaced with a corrected segment associated with the segment. In this manner, repetitive instruction of a speech recognition program can be facilitated. A system and method for directing pre-recorded audio files to a speech recognition program that does not accept such files is also disclosed. Such system and method are necessary to sue the system and method for quickly improving the accuracy of a speech recognition program with some pre-existing speech recognition programs.read more
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References
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Journal ArticleDOI
Random texts exhibit Zipf's-law-like word frequency distribution
TL;DR: It is shown that the distribution of word frequencies for randomly generated texts is very similar to Zipf's law observed in natural languages such as English.
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