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Over the last decade, a lot of research has been done on sound event classification. But a main problem with sound event classification is that the performance sharply degrades in the presence of noise. As spectrogram-based image features and denoising auto encoder reportedly have superior performance in noisy conditions, this paper proposes a new robust feature called denoising auto encoder image...
For music identification, conventional bag of audio words model methods generally compute a histogram for a piece of music, which ignores the temporal characteristic of music and has a negative influence on the accuracy. In addition, they are usually based on DFT spectrogram, which cannot represent music as well as Constant Q (CQ) spectrogram. To address the above problems, we propose a two-layer...
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