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  • 标题:An Adaptive Sparse Algorithm for Synthesizing Note Specific Atoms by Spectrum Analysis, Applied to Music Signal Separation
  • 本地全文:下载
  • 作者:M. AZAMIAN ; E. KABIR ; S. SEYEDIN
  • 期刊名称:Advances in Electrical and Computer Engineering
  • 印刷版ISSN:1582-7445
  • 电子版ISSN:1844-7600
  • 出版年度:2017
  • 卷号:17
  • 期号:2
  • 页码:103-112
  • DOI:10.4316/AECE.2017.02014
  • 出版社:Universitatea "Stefan cel Mare" Suceava
  • 摘要:In this paper, a sparse method is proposed to synthesize the note-specific atoms for musical notes of different instruments, and is applied to separate the sounds of two instruments coexisting in a monaural mixture. The main idea is to explore the inherent time structures of the musical notes by a novel adaptive method. These structures are used to synthesize some time-domain functions called note-specific atoms. The note-specific atoms of different instruments are integrated in a global dictionary. In this dictionary, there is only one note-specific atom for each note of any instrument, resulting in a sparse space for each instrument. The signal separation is done by mapping the mixture signal to the global dictionary. The signal related to each instrument is estimated by a summation of the mapped note-specific atoms tagged for that instrument. Experimental results demonstrate that the proposed method improves the quality of signal separation compared to a recently proposed method.
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