NMF/NTF-based methods applied for user-guided audio source separation: An overview
| Autor: | Bo-Chang Chen, Zhao-Ze Hong, Zhi-Wei Zhong, Jia-Ching Wang, Shih-Pang Tseng, Viet-Hang Duong, Manh-Quan Bui |
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| Rok vydání: | 2016 |
| Předmět: |
Computer science
020206 networking & telecommunications 02 engineering and technology Temporal annotation computer.software_genre Non-negative matrix factorization Time–frequency analysis Task (computing) Computer Science::Sound 0202 electrical engineering electronic engineering information engineering Source separation Task analysis Spectrogram 020201 artificial intelligence & image processing Nonnegative matrix Data mining computer |
| Zdroj: | 2016 International Conference on Orange Technologies (ICOT). |
| DOI: | 10.1109/icot.2016.8278984 |
| Popis: | Recently, user-guided or user-assisted audio separation, which exploits the auxiliary information of sources provided by users, is a new direction in audio source separation. Nonnegative matrix or tensor factorization (NMF/NTF) is one of the promising classes of approaches to address this task. In this paper, we present a survey of recent developments in user-guided source separation approaches based on NMF/NTF and illustrate various ways for incorporating the provided knowledge from user. |
| Databáze: | OpenAIRE |
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