Print Email Facebook Twitter A seismic-inspired denoising method for online recorded music Title A seismic-inspired denoising method for online recorded music Author van den Broek, Floris (TU Delft Civil Engineering & Geosciences; TU Delft Geoscience and Engineering) Contributor Robertsson, JOA (mentor) van Manen, DJ (mentor) Melinder, Björn (mentor) Wapenaar, C.P.A. (graduation committee) Degree granting institution Delft University of TechnologyETH ZürichRheinisch-Westfälische Technische Hochschule Programme Applied Geophysics Date 2017-08-11 Abstract In this work, a novel subspace-based algorithm is presented for automated random noise reduction in online recorded music. Musical signal enhancement is a separate issue from the well-studied speech enhancement problem due to the particularly wide range of signal characteristics encountered, and thus requires a very general approach. Because similar issues drive denoising advances in seismic signal processing, it is argued that an algorithm can be developed througha cross-disciplinary approach. Inspired by an enhancement method for seismic sections, noise reduction is achieved by applying a singular value decomposition-based image enhancement technique, known as eigenimage filtering, to the time-frequency representation of the musical signal. Classic eigenimage filtering approximates a full-rank matrix by its closest rank-deficientapproximation; the preserved and discarded parts of the matrix correspond to the signal and noise subspaces, respectively. Under the assumption of a quasi-stationary signal, this technique is applied to the short-time Fourier transform of the signal. However, because the standard eigenimage filtering approach results in unwanted residual noise characteristics when applied in this domain, an adapted version of the technique is used. In this adaptation, all singular values are altered but none are set to zero, and the alteration is dependent on the singular values encountered.Therefore, the method is data-adaptive. Subjective and objective performance measures indicate that the method is capable of improving the quality of noisy recordings, and that its quality is competitive compared with an open-source noise reduction algorithm whilst having the advantages of automation and fewer user-defined parameters. Subject NoiseAudioMusicAlgorithmDigital signal processing To reference this document use: http://resolver.tudelft.nl/uuid:7aebe70c-b2aa-484e-850c-937892414650 Part of collection Student theses Document type master thesis Rights © 2017 Floris van den Broek Files PDF A_Seismic_Inspired_Denois ... _Music.pdf 15.36 MB Close viewer /islandora/object/uuid:7aebe70c-b2aa-484e-850c-937892414650/datastream/OBJ/view