The Fast Local Sparsity Method: A Low-Cost Combination of Time-Frequency Representations Based on the Hoyer Sparsity

da Costa MDVM, Biscainho LWP. The Fast Local Sparsity Method: A Low-Cost Combination of Time-Frequency Representations Based on the Hoyer Sparsity. J Audio Eng Soc. 2022;70(9):698-707. doi:10.17743/jaes.2022.0036

@article{daCosta2022_21889,
  author = {da Costa, Maurício do V. M. and Biscainho, Luiz W. P.},
  title = {{The Fast Local Sparsity Method: A Low-Cost Combination of Time-Frequency Representations Based on the Hoyer Sparsity}},
  journal = {Journal of the Audio Engineering Society},
  volume = {70},
  number = {9},
  pages = {698--707},
  year = {2022},
  month = sep,
  publisher = {Audio Engineering Society},
  doi = {10.17743/jaes.2022.0036},
  url = {https://doi.org/10.17743/jaes.2022.0036}
}

TY  - JOUR
TI  - The Fast Local Sparsity Method: A Low-Cost Combination of Time-Frequency Representations Based on the Hoyer Sparsity
AU  - da Costa, Maurício do V. M.
AU  - Biscainho, Luiz W. P.
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 70
IS  - 9
SP  - 698
EP  - 707
PY  - 2022
DA  - 2022/09/06
DO  - 10.17743/jaes.2022.0036
UR  - https://doi.org/10.17743/jaes.2022.0036
PB  - Audio Engineering Society
LA  - en
AB  - This paper describes a novel, low-cost method for combining time-frequency representations into a more sparse one. To this end, a new local quality measure that is based on an amplitude-weighted version of the so-called Hoyer sparsity is proposed. A detailed evaluation procedure that employs a dataset with nearly perfect f0 annotations of melodic signals and a set of white-noise pulses is adopted for assessing the time-frequency resolution attained. The proposed method is shown to produce state-of-the-art results among the existing combination methods in terms of energy concentration at frequency contours, onsets, and offsets, meeting the most desirable requirements: high time-frequency resolution, low computational cost, and the capability of combining representations with non-linear frequency scale.
ER  -