Query by humming: musical information retrieval in an audio database
Proceedings of the third ACM international conference on Multimedia
Towards the digital music library: tune retrieval from acoustic input
Proceedings of the first ACM international conference on Digital libraries
Musical content-based retrieval: an overview of the Melodiscov approach and system
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Multiple scale music segmentation using rhythm, timbre, and harmony
EURASIP Journal on Applied Signal Processing
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Audio feature estimation is potentially improved by including the auditory short-term memory (STM) model. A new paradigm of audio feature estimation is obtained by adding the influence of notes in the STM. These notes are identified using the directional spectral flux, and the spectral content that is increased by the new note is added to the STM. The STM is exponentially fading with time span and number of elements, and each note only belongs to the STM for a limited time. Initial investigations regarding the behavior of the STM shows promising results, and an initial experiment with sensory dissonance has been undertaken with good results. The parameters obtained from the auditory memory model, along with the dissonance measure, are shown here to be of interest in music genre classification.