AAAI Publications, Thirty-First AAAI Conference on Artificial Intelligence

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Audio Feature Learning with Triplet-Based Embedding Network
Xiaoyu Qi, Deshun Yang, Xiaoou Chen

Last modified: 2017-02-12

Abstract


We propose a triplet-based network for audio feature learning for version identification. Existing methods use hand-crafted features for a music as a whole while we learn features by a triplet-based neural network on segment-level, focusing on the most similar parts between music versions. We conduct extensive experiments and demonstrate our merits.

Keywords


audio feature; metric learning; triplet network

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