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- W2359348515 abstract "In the speaker independent isolated words recognition system, the limitation on the volume of model-base is a significant factor to hamper the improvement on recognition range and performance. The cost and computation time that a huge model-base requirs make it difficult for the recognition system to be used on a large scale. A method is presented to greatly reduce the of model-base volume in speech recognition applications for the speaker independent isolated words recognition system. In this method, the most suitable models is selected by using a process similar to different species fighting for food. Simulating results show that by use one general model instead several models in some cases, this algorithm can obviously reduce model-base capability requirement distinctively without significantly affect the recognition rate." @default.
- W2359348515 created "2016-06-24" @default.
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- W2359348515 date "2006-01-01" @default.
- W2359348515 modified "2023-09-28" @default.
- W2359348515 title "A Method to Reduce Model-Base Volume for Speech Recognition" @default.
- W2359348515 hasPublicationYear "2006" @default.
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