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A BENCHMARK DATASET FOR AUDIO CLASSIFICATION AND …
https://ismir2005.ismir.net/proceedings/2117.pdf
We present a freely available benchmark dataset for audio classication and clustering. This dataset consists of 10 seconds samples of 1886 songs obtained from the Garage-band site. Beside the audio clips themselves, textual meta data is provided for the individual songs. The songs are classied into 9 genres. In addition to the genre infor-mation, our dataset also …
A Benchmark Dataset for Audio Classification and …
https://www.semanticscholar.org/paper/A-Benchmark-Dataset-for-Audio-Classification-and-Homburg-Mierswa/da134a71acd72719f26adb73d9cfc8a1a4ab82fc
We present a freely available benchmark dataset for audio classification and clustering. This dataset consists of 10 seconds samples of 1886 songs obtained from the Garageband site. Beside the audio clips themselves, textual meta data is provided for the individual songs. The songs are classified into 9 genres.
A Benchmark Dataset for Audio Classification and …
https://www.researchgate.net/publication/220723598_A_Benchmark_Dataset_for_Audio_Classification_and_Clustering
We present a freely available benchmark dataset for audio classication and clustering. This dataset consists of 10 seconds samples of 1886 songs obtained from the Garage- band site.
CiteSeerX — A Benchmark Dataset for Audio …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.334
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We present a freely available benchmark dataset for audio classification and clustering. This dataset consists of 10 seconds samples of 1886 songs obtained from the Garageband site. Beside the audio clips themselves, textual meta data is provided for the individual songs.
CiteSeerX — AUDIO DATA
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.2765
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We present a freely available benchmark dataset for audio classification and clustering. This dataset consists of 10 seconds samples of 1886 songs obtained from the Garageband site. Beside the audio clips themselves, textual meta data is provided for the individual songs.
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