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- W2891043356 abstract "Homophones are recognized in sentence-level speech recognition due to the dominating meaning and lexical analysis technique, but still it is a difficult ambiguity in word-level recognition where the uttered expression is either short or in a single string. To reduce the homophone ambiguity from the word-level recognition, an artificial immune system algorithm is proposed in the earlier part of this research where the recognition rate of a correct homophone word is minimal. In this paper, an affinity maturation technique is proposed to increase the correct recognition rate at the preliminary phase of the artificial immune algorithm." @default.
- W2891043356 created "2018-09-27" @default.
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- W2891043356 date "2018-09-12" @default.
- W2891043356 modified "2023-10-01" @default.
- W2891043356 title "Affinity Maturation of Homophones in Word-Level Speech Recognition" @default.
- W2891043356 cites W2107726111 @default.
- W2891043356 doi "https://doi.org/10.1007/978-981-13-1280-9_13" @default.
- W2891043356 hasPublicationYear "2018" @default.
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