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- W4206044377 abstract "This paper describes an approach to separate time-overlapping bird vocalizations in 4-channel recordings and overcome the limitations of classical beamforming. As a first step, the short-time-Fourier transform (STFT) of the input time series is computed. The beam response is calculated for each time-frequency (TF) bin by conventional beamforming with amplitude-based sidelobe suppression and then converted into a red-green-blue (RGB) color vector, producing the directional spectrogram (D-SPEC) in which color represents direction of arrival (DOA). The scalar color value (hue) is then clustered into bird individuals using a probabilistic approach (Gaussian mixture model). In a final step, spatial processing is used to promote grouping of nearby TF bins into the same cluster. Results are tested using annotated field recordings in a challenging scenario." @default.
- W4206044377 created "2022-01-26" @default.
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- W4206044377 date "2021-08-23" @default.
- W4206044377 modified "2023-09-29" @default.
- W4206044377 title "Separation of Bird Calls and DOA estimation using a 4-Microphone Array" @default.
- W4206044377 doi "https://doi.org/10.23919/eusipco54536.2021.9616173" @default.
- W4206044377 hasPublicationYear "2021" @default.
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