In many applications such as music transcription, audio forensics, speech denoising, it is needed to decompose a mono recording into its respective sources. These techniques are usually referred to as blind source separation (BSS). Recently, one of the techniques used in BSS is non-negative matrix factorization (NMF) both in supervised and unsupervised learning method. In this paper we focus on convolutive NMF algorithms to evaluate the performance of BSS in which supervised mode is used. The results on music mixtures of the MASS database based on signal to distortion ratio (SDR) and signal to artefact ratio (SAR) show that the proposed system perform a good reconstruction of sources signal.

Costantini, G., Todisco, M., Saggio, G. (2015). Sources separation of mono signal based on convolutive NMF. In Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015) - Volume 3: NCTA (pp.79-82). Lisbon : SciTePress.

Sources separation of mono signal based on convolutive NMF

COSTANTINI, GIOVANNI;SAGGIO, GIOVANNI
2015-01-01

Abstract

In many applications such as music transcription, audio forensics, speech denoising, it is needed to decompose a mono recording into its respective sources. These techniques are usually referred to as blind source separation (BSS). Recently, one of the techniques used in BSS is non-negative matrix factorization (NMF) both in supervised and unsupervised learning method. In this paper we focus on convolutive NMF algorithms to evaluate the performance of BSS in which supervised mode is used. The results on music mixtures of the MASS database based on signal to distortion ratio (SDR) and signal to artefact ratio (SAR) show that the proposed system perform a good reconstruction of sources signal.
7th International Joint Conference on Computational Intelligence, IJCCI 2015
Lisbon (Portugal)
2015
7
Rilevanza internazionale
contributo
12-nov-2015
Settore ING-INF/01 - Elettronica
English
Blind Source Separation; BSS Evaluation; Constant Q-Transform; Convolutive NMF; Source Separation;
Source Separation, Blind Source Separation, BSS Evaluation, Convolutive NMF, Constant Q-Transform
Intervento a convegno
Costantini, G., Todisco, M., Saggio, G. (2015). Sources separation of mono signal based on convolutive NMF. In Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015) - Volume 3: NCTA (pp.79-82). Lisbon : SciTePress.
Costantini, G; Todisco, M; Saggio, G
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/125892
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact