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• W1905857425 abstract "Detecting when voice is or is not present is an outstanding problem for speech transmission, enhancement and recognition. Here we present a novel multichannel source activity detector that exploits the spatial localization of the target audio source. The detector uses an array signal processing technique to maximize the signal-to-interference ratio for the target source thus decreasing the activity detection error rate. We compare our two-channel voice activity detector (VAD) with the AMR voice detection algorithms on real data recorded in a noisy car environment. The new algorithm shows improvements in error rates of 55–70% compared to the state-of-the-art adaptive multi-rate algorithm AMR2 used in present voice transmission technology." @default.
• W1905857425 created "2016-06-24" @default.
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• W1905857425 date "2002-08-30" @default.
• W1905857425 modified "2023-09-25" @default.
• W1905857425 title "Multichannel voice detection in adverse environments" @default.
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• W1905857425 doi "https://doi.org/10.5281/zenodo.37991" @default.
• W1905857425 hasPublicationYear "2002" @default.
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