An Audio and Music Similarity and Retrieval System Based on Sparse Feature Representations
نویسندگان
چکیده
In this paper, we present an audio and music similarity and retrieval(AMSR) system, which employed sparse feature representations. Our system first extracts Melscaled spectrum from audio snippet. Next, sparse restricted Boltzmann machine (RBM) is trained for feature representation. In order to enhance computational efficiency in retrieval phase, we employed locality sensitive hashing (LSH) method, which facilitates approximate nearest neighbor (ANN) search.
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تاریخ انتشار 2012