Musical Genre Classification of Audio Data Using Source Separation Techniques
نویسنده
چکیده
We propose a two-step, audio feature-based musical genre classification methodology. First, we identify and separate the various musical instrument sources in the audio signal, using the convolutive sparse coding algorithm. Next, we extract classification features from the separated signals that correspond to distinct musical instrument sources. The methodology is evaluated and its performance is assessed.
منابع مشابه
Musical Genre Classification Enhanced by Improved Source Separation Technique
We present a system for musical genre classification based on audio features extracted from signals which correspond to distinct musical instrument sources. For the separation of the musical sources, we propose an innovative technique in which the convolutive sparse coding algorithm is applied to several portions of the audio signal. The system is evaluated and its performance is assessed.
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تاریخ انتشار 1994