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- W2131618739 abstract "A connectionist structure for phoneme recognition in continuous speech is described. This has two main parts. The first is a sound subunit classifier in the form of a three-layer back propagation network which classifies speech subunits from frames of spectral speech data. This is followed by a sequence classifier in the form of a network of neural like-units which classifies phonemes from input sequences of subunits by their occurrence and duration. Results are given for a 15-phoneme subset of British English, for a single speaker. These include the difficult syllable initial and final stop consonants, fricatives, vowels, and diphthongs. The overall recognition accuracy achieved is 87%. >" @default.
- W2131618739 created "2016-06-24" @default.
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- W2131618739 date "2003-01-13" @default.
- W2131618739 modified "2023-10-14" @default.
- W2131618739 title "A connectionist model for phoneme recognition in continuous speech" @default.
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- W2131618739 doi "https://doi.org/10.1109/icassp.1989.266454" @default.
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