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Sampled and discretized of short-time Fourier transform and non-negative matrix factorization: the single-channel source separation case

Department of Electrical Engineering and Informatics, Vocational College, Universitas Gadjah Mada. Yacaranda st., Sekip Unit IV, Yogyakarta, Indonesia 55281, Indonesia

Received: 5 Aug 2020; Revised: 27 Oct 2020; Accepted: 27 Nov 2020; Published: 31 Jan 2021; Available online: 7 Dec 2020.
Open Access Copyright (c) 2021 The Authors. Published by Department of Computer Engineering, Universitas Diponegoro
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Citation Format:
The Short-time Fourier transform (STFT) is a popular time-frequency representation in many source separation problems. In this work, the sampled and discretized version of Discrete Gabor Transform (DGT) is proposed to replace STFT within the single-channel source separation problem of the Non-negative Matrix Factorization (NMF) framework. The result shows that NMF-DGT is better than NMF-STFT according to Signal-to-Interference Ratio (SIR), Signal-to-Artifact Ratio (SAR), and Signal-to-Distortion Ratio (SDR). In the supervised scheme, NMF-DGT has a SIR of 18.60 dB compared to 16.24 dB in NMF-STFT, SAR of 13.77 dB to 13.69 dB, and SDR of 12.45 dB to 11.16 dB. In the unsupervised scheme, NMF-DGT has a SIR of 0.40 dB compared to 0.27 dB by NMF-STFT, SAR of -10.21 dB to -10.36 dB, and SDR of -15.01 dB to -15.23 dB.
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Keywords: DGT; STFT; NMF; time-frequency representation; single-channel source separation
Funding: Vocational College of Universitas Gadjah Mada under contract 83/UN1.SV/KPT/2020

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