Automatic transcription systems have not yet achieved the point where they can accurately transcribe anything other than monophonic melodies. This means that audio classifica- tion systems must rely on low-level features related to signal processing rather than direct musical information.
We describe difficulties encountered when classifying woodwinds, brass, and strings of contemporary orchestra. We discuss most difficult cases and explain why ...
In this paper, we deal with the problem of automatic classification of musical instrument on the basis of its sound. Although there are algorithms for basic ...
Abstract. Convenient searching of multimedia databases requires well annotated data. Labeling sound data with information like pitch or timbre must be done.
This paper describes difficulties encountered when classifying woodwinds, brass, and strings of contemporary orchestra, and discusses most difficult cases ...
The dataset is composed by 1007 tones from 27 musical instruments ranging from orchestral sounds (strings, woodwinds, brass) to pop/electronic instruments (bass ...
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Problems with Automatic Classification of Musical Sounds. A. Wieczorkowska, J. Wroblewski, D. Slezak, and P. Synak. IIS, page 423-430. Springer, (2003 ). 1. 1 ...
Abstract. In this article we shall deal with automatic classification of sound samples and ways to improve the classification results:.
We present an exhaustive review of research on automatic classification of sounds from musical instruments. Two different but complementary approaches are ...
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A novel software system that automatically classifies musical recordings based on genre is presented and discussed and the highlights of the catalogue of ...
Missing: Problems | Show results with:Problems