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- W2000693852 abstract "Within the framework of computational auditory scene analysis (CASA), a speech separation algorithm based on energy difference for close-talk system was proposed. The two microphones received the mixture signal of close target speech and far noise sound at the same time. The inter-microphone intensity differences (IMID) of the two microphones in time-frequency (T-F) units were calculated. And used as cues to generate the binary masks with the K-means two class clustering method. Experiments indicated that this novel algorithm could separate the target speech from the mixture sound, and performed well in a big noise environment." @default.
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- W2000693852 date "2012-11-01" @default.
- W2000693852 modified "2023-09-25" @default.
- W2000693852 title "Energy Difference Based Speech Segregation for Close-Talk System" @default.
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- W2000693852 doi "https://doi.org/10.4028/www.scientific.net/amm.229-231.1738" @default.
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