Drum loops retrieval from spoken queries
Journal of Intelligent Information Systems - Special issue: Intelligent multimedia applications
Drum sound detection in polyphonic music with hidden Markov models
EURASIP Journal on Audio, Speech, and Music Processing
Real-time drums transcription with characteristic bandpass filtering
Proceedings of the 7th Audio Mostly Conference: A Conference on Interaction with Sound
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In this paper, we describe a system for transcribing polyphonic drum sequences from an acoustic signal to a symbolic representation. Low-level signal analysis is done with an acoustic model consisting of a Gaussian mixture model and a support vector machine. For higher-level modelling, periodic N-grams are proposed to construct a "language model" for music, based on the repetitive nature of musical structure. Also, a technique for estimating relatively long N-grams is introduced. The performance of N-grams in the transcription was evaluated using a database of realistic drum sequences from different genres and yielded a performance increase of 7.6 % compared to a the use of only prior (unigram) probabilities with the acoustic model.