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- W2393189634 abstract "Aiming at Content-Based Audio Retrieval(CBAR)applications,a robust audio fingerprint method using lifting-based wavelet transform and non-negative matrix factorization is proposed.The original audio is divided to small frames by fixed length and then low-frequent and high-frequent components coefficients are obtained by lifting-based wavelet transformation in every frame.The every audio frame is approximately represented as a product of a base matrix and a coefficient matrix using Non-negative Matrix Factorization(NMF).The sum of each column in the coefficient matrix is calculated,which is then quantized to produce 1 bit of the fingerprint sequence.Experiment results show that the proposed scheme is robust against common audio processing.It is insensitive to small local change,and therefore is suitable for distinguishing different audios." @default.
- W2393189634 created "2016-06-24" @default.
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- W2393189634 date "2013-01-01" @default.
- W2393189634 modified "2023-09-26" @default.
- W2393189634 title "Robust audio fingerprint using lifting-based wavelet and non-negative matrix factorization" @default.
- W2393189634 hasPublicationYear "2013" @default.
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