Topaklanmiş NOMA ile tek-kanaldan algisal ses kaynak ayriştirma

Serap Kirbiz, Bilge Gunsel

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

Özet

This paper proposes to incorporate the perceptual quality criteria into a single-channel audio source decomposition method. Unlike the existing methods, the proposed method applies a perceptually weighted Clustered Non-negative Matrix Factorization (PW-CNMF) on magnitude spectrogram of the mixed signal. CNMF decomposes an audio mixture into an additive parts based representation where the parts usually correspond to individual notes. These parts correspond to the basis vectors and Shifted Non-negative Matrix Factorization (SNMF) is used to cluster these bases into sources. Perceptually weighted CNMF algorithm has been tested for the separation of pitched instruments with improved quality of the separated sources.

Tercüme edilen katkı başlığıSingle channel audio source separation by Clustered NMF
Orijinal dilTürkçe
Ana bilgisayar yayını başlığı2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings
YayınlayanIEEE Computer Society
Sayfalar469-472
Sayfa sayısı4
ISBN (Basılı)9781479948741
DOI'lar
Yayın durumuYayınlandı - 2014
Etkinlik2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Trabzon, Turkey
Süre: 23 Nis 201425 Nis 2014

Yayın serisi

Adı2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings

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???event.eventtypes.event.conference???2014 22nd Signal Processing and Communications Applications Conference, SIU 2014
Ülke/BölgeTurkey
ŞehirTrabzon
Periyot23/04/1425/04/14

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