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Showing papers on "Intelligent word recognition published in 1987"


01 Jan 1987
TL;DR: In this paper, a template-based isolated word recognition system, with adaptation of templates by weighted averaging with recognized input utterances, is described, and the results show substantial improvements in the recognition accuracies attained, and reveal the importance of applying a compensation technique which adjusts the word distances obtained according to the amounts of adaptation applied.
Abstract: A template-based isolated word-recognition system, with adaptation of templates by weighted averaging with recognised input utterances, is described. Experiments with adaptation of speaker-specific and speaker-independent templates are reported. The results show substantial improvements in the recognition accuracies attained, and reveal the importance of applying a compensation technique which adjusts the word distances obtained according to the amounts of adaptation applied. Aspects of interaction between the system and the user are discussed.

9 citations


Book ChapterDOI
01 Jan 1987
TL;DR: Important progress has been achieved in Speech recognition during the last ten years, and some small recognition tasks like vocal commands can now be accomplished, and more fundamental research involves the study and design of large vocabulary recognition.
Abstract: Important progress has been achieved in Speech Recognition during the last ten years. Some small recognition tasks like vocal commands can now be accomplished, and more fundamental research involves the study and design of large vocabulary recognition. The research on Automatic Dictation is becoming very active, and recent realizations have shown very good performances. A key factor in the development of such Listening Typewriters is the ability to support Large Size Dictionary (LSD, several thousands words), or even Very Large Size Dictionaries (VLSD, several hundred of thousands words), because any restriction on the vocabulary is a restriction on potential users. This is even more important for inflected languages, such as French, because of the number of different forms for each lemma (on the average: 2.2 for English, 5 for German, 7 for French).

7 citations