We propose a new sound onset detection method using principles of psychoacoustics.Our algorithm mimics the human auditory system to detect onsets in polyphonic audio.A filterbank based processing scheme is used that allows for a more robust detection of onsets using a popular model of loudness.We show the versatility of our algorithm by evaluating it's performance over a wide range of sounds.
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