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- W2994137740 abstract "In this paper we propose a new speech enhancement based on the sparse representation in logarithmic frequency scale. The proposed method creates the dictionary from the spectrum in logarithmic frequency scale and reconstructs the speech by using ADMM. Compared with the conventional method using linear frequency scale, the proposed method can compress the dictionary size. Since the proposed method does not require any noise estimation stage, the proposed method is strong against the rapid change of noise. From several experiments, we reveal that the proposed method provides high performance for noise reduction in low SNR environment." @default.
- W2994137740 created "2019-12-13" @default.
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- W2994137740 date "2018-11-01" @default.
- W2994137740 modified "2023-10-02" @default.
- W2994137740 title "Speech Enhancement Based on Sparse Representation in Logarithmic Frequency Scale" @default.
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- W2994137740 doi "https://doi.org/10.1109/ispacs.2018.8923301" @default.
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