KDD-Based Approach to Musical Instrument Sound Recognition
نویسندگان
چکیده
Automatic content extraction from multimedia files is a hot topic nowadays. Moving Picture Experts Group develops MPEG-7 standard, which aims to define a unified interface for multimedia content description, including audio data. Audio description in MPEG-7 comprises features that can be useful for any content-based search of sound files. In this paper, we investigate how to optimize sound representation in terms of musical instrument recognition purposes. We propose to trace trends in evolution of values of MPEG-7 descriptors in time, as well as their combinations. Described process is a typical example of KDD application, consisting of data preparation, feature extraction and decision model construction. Discussion of efficiency of applied classifiers illustrates capabilities of further progress in optimization of sound representation. We believe that further research in this area would provide background for automatic multimedia content description.
منابع مشابه
Towards A Sound Recognition System for Traditional Malay Musical Instruments
In recent year, studies on music content analysis especially on musical instrument recognition system are developed extensively. However, almost all the studies are developed based on the Western musical instruments. Meanwhile, study on non-Western musical instrument especially on traditional Malay musical instrument is still lacking. With the enormous amount of instruments data and features sc...
متن کاملMirai Music Information Retrieval Based on Automatic Indexing
Increasing growth and popularity of multimedia resources available on the Web brought the need to provide new, more advanced tools needed for research. However, searching through multimedia data is highly non-trivial task that requires content-based indexing of the data. My research will focus on automatic extraction of information about the sound timbre, and indexing sound data with informatio...
متن کاملAcoustic feature based Musical Instrument Hierarchy and Its Application to Category level Musical Instrument Recognition
This paper describes category level recognition of unknown musical instruments i e musical instruments which are not contained in training data based on an acoustic feature based musical instrument hierarchy The problem of how the unknown musical instruments should be dealt with is essential in musical instrument recognition However this problem has not been dealt with in previous studies In th...
متن کاملThe Significance of the Non-Harmonic "Noise" Versis the Harmonic Series for Musical Instrument Recognition
Sound produced by Musical instruments with definite pitch consists of the Harmonic Series and the nonharmonic Residual. It is common to treat the Harmonic Series as the main characteristic of the timbre of pitched musical instruments. But does the Harmonic Series indeed contain the complete information required for discriminating among different musical instruments? Could the non-harmonic Resid...
متن کاملPerceptually Salient Regions of the Modulation Power Spectrum for Musical Instrument Identification
The ability of a listener to recognize sound sources, and in particular musical instruments from the sounds they produce, raises the question of determining the acoustical information used to achieve such a task. It is now well known that the shapes of the temporal and spectral envelopes are crucial to the recognition of a musical instrument. More recently, Modulation Power Spectra (MPS) have b...
متن کامل