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Accurate DOA estimation based on clustering the inter-sensor data ratios (ISDRs) of a single acoustic vector sensor (AVS), referred as AVS-ISDR, relies on reliable extraction of time-frequency points with high local signal-to-noise ratio (HLSNR-TFPs) and its performance degrades in noisy environments. This paper investigates deep neural networks (DNNs) trained with noisy-clean speech pairs under different...
By exploring the time-frequency (TF) sparsity property of the speech, the inter-sensor data ratios (ISDRs) of single acoustic vector sensor (AVS) have been derived and investigated. Under noiseless condition, ISDRs have favorable properties, such as being independent of frequency, DOA related with single valuedness, and no constraints on near or far field conditions. With these observations, we further...
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