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  • A novel ceomposition of audio signal is proposed. Sounds from a set are identified in a complex audio sound by unsupervised sound separation methods. Between-spectra and Between-Mel-Frequency-Cepstral-Coefficients divergences are considered.
  • A novel ceomposition of audio signal is proposed. Sounds from a set are identified in a complex audio sound by unsupervised sound separation methods. Between-spectra and Between-Mel-Frequency-Cepstral-Coefficients divergences are considered. (en)
  • Tento článek popisuje dekompozici zvukového signálu. Zvuky uložené předem v množině jsou identifikovány využitím separačních metod bez učitele. Je použita vzdálenost mezi spektry a mezi kepstrálními koeficienty. (cs)
Title
  • Music Signal Decomposition Approaches Based On Unsupervised Source Separation Methods
  • Dekompozice hudebního signálu založená na separaci zvuku bez učitele (cs)
  • Music Signal Decomposition Approaches Based On Unsupervised Source Separation Methods (en)
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  • Music Signal Decomposition Approaches Based On Unsupervised Source Separation Methods
  • Dekompozice hudebního signálu založená na separaci zvuku bez učitele (cs)
  • Music Signal Decomposition Approaches Based On Unsupervised Source Separation Methods (en)
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  • RIV/49777513:23520/07:00000166!RIV08-MSM-23520___
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  • RIV/49777513:23520/07:00000166
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  • music acoustic signal processing; unsupervised sound separation methods; audio signal decomposition; non-negative matrix factorization deconvolution; Mel-Frequency Cepstral Coefficients (en)
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  • [97F4C77845A4]
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  • Balatonfüred
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  • Budapest
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  • Proceedings of the 8th international PhD workshop on systems and control a young generation viewpoint
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  • Albrecht, Štěpán
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  • Magyar Tudományos Akadémia, Számítástechnikai és Automatizálási Kutatóintézet
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  • 978-963-311-365-3
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  • 23520
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