Collecting ground truth annotations for drum detection in polyphonic music (2005)
Tanghe, K, Lesaffre, M, Degroeve, S, Leman, M, De Baets, B, Martens, J
In order to train and test algorithms that can automatically detect drum events in polyphonic music, ground truth data is needed. This paper describes a setup used for gathering manual annotations...
FEAPI: A low level feature extraction plugin API (2005)
Lerch, A, Eisenberg, G, Tanghe, K
This paper presents FEAPI, an easy-to-use platform-independent plugin application programming interface (API) for the extraction of low level features from audio in PCM format in the context of music...
A simulated annealing optimization of audio features for drum classification (2005)
Degroeve, S, Tanghe, K, De Baets, B, Leman, M, Martens, J
Current methods for the accurate recognition of instruments within music are based on discriminative data descriptors. These are features of the music fragment that capture the characteristics of the...
Support Vector Machines for Bass and Snare Drum Recognition (2005)
Van Steelant, D, Tanghe, K, Degroeve, S, De Baets, B, Leman, M, Martens, J
In this paper we attempt to extract information concerning percussive instruments from a musical audio signal. High-dimensional vectors of descriptors are computed from the signal and classified by...
Classification of percussive sounds using support vector machines (2004)
D. Van Steelant, K. Tanghe, S. Degroeve, B. De Baets, M. Leman
With the explosive growth of the amount of digital music available on the Internet, Musical Information Retrieval (MIR) has become a topic that has attracted the attention of researchers