Using Timbre, Rhythm and Tempo Models for Audio Music Similarity Estimation
نویسندگان
چکیده
In this submission, audio features that approximate timbre, rhythm and tempo are used for genre classification and music similarity estimation. This abstract describes the feature set, distance computation method, and classifier model used for the submitted algorithms.
منابع مشابه
Using Timbre, Rhythm and Tempo Models for Music Genre Classification
In this submission, audio features that approximate timbre, rhythm and tempo are used for genre classification and music similarity estimation. This abstract describes the feature set, distance computation method, and classifier model used for the submitted algorithms.
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In this submission, audio features that approximate timbre, rhythm and tempo are used for genre classification and music similarity estimation. This abstract describes the feature set, distance computation method, and classifier model used for the submitted algorithms.
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In this submission, audio features that approximate timbre, rhythm and tempo are used for genre classification and music similarity estimation. This abstract describes the feature set, distance computation method, and classifier model used for the submitted algorithms.
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In this submission, audio features that approximate timbre, rhythm and tempo are used for genre classification and music similarity estimation. This abstract describes the feature set, distance computation method, and classifier model used for the submitted algorithms.
متن کاملMirex 2011 - Ams Task: Multi Descriptor Based Algorithm
A method for the estimation of music similarity based on a combination of timbre, rhythm and tonal content of the songs, is presented in this report. The rhythm is estimated by evaluating the frequency distribution of the tempo pattern of the songs, while the tonal content is estimated by the calculation of an averaged chroma profile of the song. The algorithm is proposed to be submitted to the...
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