Mirex 2011: Automatic Audio Tag Classification via Sparse Coding
نویسندگان
چکیده
This extended abstract details our submission to the Music Information Retrieval Evaluation eXchange (MIREX) 2011 for the audio tag classification task. First of all, we extract a fixed-length feature vector (composed of some timbral as well as modulation spectrum features) from each song clip. Then, by using l-reconstruction to represent each test song clip as a linear combination of all training songs (also known as sparse coding), we use the label matrix of training song clips to transform the sparse reconstruction coefficients of each test song clip to the label vector space. Finally, the labels with the largest values are used as the final tags for each test song clip.
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