Abstract
Audio feature estimation involves measuring key characteristics from audio. This paper demonstrates the improvement of a feature estimation method using an auditory memory model with rehearsal included. The auditory memory model is achieved using onset detection to identify new audio components for insertion into the auditory memory, and an algorithm that then combines the characteristics of the current interval with those of the audio components in the auditory memory. The auditory memory model mimics the storing, retrieval and forgetting processes of the short-term memory, and in this work the rehearsal as well. The feature estimation using the auditory memory model has been successfully applied to the estimation of sensory dissonance, and the characteristics of the memory model has been shown to be of interest in music categorization. The rehearsal step in the memory model is an important step in the understanding of the model. In addition, the dissonance estimation correlation with human ratings is tested with or without including rehearsal in the auditory memory model.
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Jensen, K. (2014). Influence of Rehearsal in an Auditory Memory Model for Audio Feature Estimation. In: Aramaki, M., Derrien, O., Kronland-Martinet, R., Ystad, S. (eds) Sound, Music, and Motion. CMMR 2013. Lecture Notes in Computer Science(), vol 8905. Springer, Cham. https://doi.org/10.1007/978-3-319-12976-1_35
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