out = may2011(input,fs);
input | binaural input signal [nSamples x 2 channels] |
fs | sampling frequency in Hertz |
out | localization structure containing the following fields: .param = processing parameters .azFrames = frame-based azimuth estimate [Frames x 1] .azimuth = time-frequency azimuth estimate [nFilter x nFrames] .rangeAZ = azimuth grid [nAzDir x 1] .prob = 3D probability map [nFilter x nFrames x nAzDir] .loglik = 3D log-likelihood map [nFilter x nFrames x nAzDir] .itd = interaural time difference [nFilter x nFrames] .ild = interaural level difference [nFilter x nFrames] .ic = interaural coherence [nFilter x nFrames] |
T. May, S. van de Par, and A. Kohlrausch. A probabilistic model for robust localization based on a binaural auditory front-end. IEEE Trans Audio Speech Lang Proc, 19:1-13, 2011.