Penjernihan Derau pada Suara Kanal Tunggal dengan Pembelajaran Faktorisasi Matriks Non-negatif tanpa Pengawasan
This article examines an approach of denoising method on single channel using Non-negative Matrix Factorization (NMF) on unsupervised-learning scheme. This technique utilizes the property of NMF which unravels spectrogram matrices of noise-interfered speech and noise itself into their building-bl...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Indonesia Association of Computational Linguistics (INACL)
2018-03-01
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| Series: | Jurnal Linguistik Komputasional |
| Online Access: | http://inacl.id/journal/index.php/jlk/article/view/2 |