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- W2356170410 abstract "Memory and speed are two demanding factors that must be faced when applying voice dialing speech recognition system to Pocket PC. We proposed a novel decoding method, dynamic histogram pruning adjusted by the difference scores of token paths,to precisely control the decoding search space and improve decoding efficiency. Besides,a new acoustic modeling method based on Extended Initial/Final(XIF) with less feature dimension is proven suitable for embedded speech recognition. By using the above methods developed,we implemented a speaker-independent and user definable voice dialing speech recognition system with good performance on a real PDA device. In 200-word-sized vocabulary.it obtained the accuracy of 98.70% and better recognition speed with 30% decoding space saving in comparison to the baseline system." @default.
- W2356170410 created "2016-06-24" @default.
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- W2356170410 date "2005-01-01" @default.
- W2356170410 modified "2023-09-26" @default.
- W2356170410 title "Application and Implementation of Dynamically-Adjustable Histogram Pruning for PDA Voice Dialing" @default.
- W2356170410 hasPublicationYear "2005" @default.
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