A Non-iterative Method for (Re)Construction of Phase from STFT Magnitude
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Abstract (arXiv)
A non-iterative method for the construction of the Short-Time Fourier Transform (STFT) phase from the magnitude is presented. The method is based on the direct relationship between the partial derivatives of the phase and the logarithm of the magnitude of the un-sampled STFT with respect to the Gaussian window. Although the theory holds in the continuous setting only, the experiments show that the algorithm performs well even in the discretized setting (Discrete Gabor transform) with low redundancy using the sampled Gaussian window, the truncated Gaussian window and even other compactly supported windows like the Hann window. Due to the non-iterative nature, the algorithm is very fast and it is suitable for long audio signals. Moreover, solutions of iterative phase reconstruction algorithms can be improved considerably by initializing them with the phase estimate provided by the present algorithm. We present an extensive comparison with the state-of-the-art algorithms in a reproducible manner.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Sep 2016.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 2; 2024: 1; 2025: 1.
7 papers.
- 2022DiffPhase: Generative Diffusion-based STFT Phase Retrievalcited by 8
- 2024A Survey of Deep Learning Audio Generation Methodscited by 5
- 2023Towards Controllable Audio Texture Morphingcited by 4
- 2023Example-Based Framework for Perceptually Guided Audio Texture Generationcited by 1
- 2021Unified Signal Compression Using a GAN with Iterative Latent Representation Optimizationcited by 0
- 2021SpecSinGAN: Sound Effect Variation Synthesis Using Single-Image GANscited by 0
- 2025Efficient Neural and Numerical Methods for High-Quality Online Speech Spectrogram Inversion via Gradient Theoremcited by 0
- 2025Efficient Neural and Numerical Methods for High-Quality Online Speech Spectrogram Inversion via Gradient Theorem30 May 2025
- 2024A Survey of Deep Learning Audio Generation Methods31 May 2024
- 2023Example-Based Framework for Perceptually Guided Audio Texture Generation23 Aug 2023
- 2023Towards Controllable Audio Texture Morphing23 Apr 2023
- 2022DiffPhase: Generative Diffusion-based STFT Phase Retrieval8 Nov 2022
- 2021SpecSinGAN: Sound Effect Variation Synthesis Using Single-Image GANs14 Oct 2021
- 2021Unified Signal Compression Using a GAN with Iterative Latent Representation Optimization23 Sep 2021