Project Details

Acronym-
StatusFinished
Effective start/end date01/01/201831/12/2023

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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • Diffusion Models for Audio Restoration: A Review

    Lemercier, J. M., Richter, J., Welker, S., Moliner Juanpere, E., Valimaki, V. & Gerkmann, T., 2024, In: IEEE Signal Processing Magazine. 41, 6, p. 72-84 13 p.

    Research output: Contribution to journalReview Articlepeer-review

    Open Access
    File
    3 Citations (Scopus)
    166 Downloads (Pure)
  • A Two-Stage U-Net for High-Fidelity Denoising of Historical Recordings

    Moliner, E. & Välimäki, V., 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. IEEE, p. 841-845 5 p. ( Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    File
    29 Citations (Scopus)
    104 Downloads (Pure)
  • Audio peak reduction using a synced allpass filter

    Schlecht, S. J., Fierro, L., Välimäki, V. & Backman, J., 2022, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022. Singapore: IEEE, p. 1006-1010 5 p. (IEEE International Conference on Acoustics, Speech and Signal Processing; vol. 2022-May).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    File
    5 Citations (Scopus)
    237 Downloads (Pure)