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- W1506579391 abstract "This paper proposes a reliable endpoint detection method for a bimodal system in an acoustically noisy environment. Endpoints are detected in the audio and video signals, and then suitable ones are selected depending on the signal-to-noise ratio (SNR) estimated in the input audio signal. Experimental results show that the proposed method can significantly reduce a detection error rate and produce acceptable recognition accuracy in a bimodal system, even with a very low SNR." @default.
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- W1506579391 date "2003-01-01" @default.
- W1506579391 modified "2023-09-27" @default.
- W1506579391 title "Endpoint Detection of Isolated Korean Utterances for Bimodal Speech Recognition in Acoustic Noisy Environments" @default.
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- W1506579391 doi "https://doi.org/10.1007/978-3-540-39592-8_82" @default.
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