Full band denoising of room impulse response in the wavelet domain with dictionary learning
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866911632848846848 |
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| author | Dupré, Théophile Couderc, Romain Moleron, Miguel Coulon, Axel Bruno, Rémy Laborie, Arnaud |
| author_facet | Dupré, Théophile Couderc, Romain Moleron, Miguel Coulon, Axel Bruno, Rémy Laborie, Arnaud |
| contents | Conventional wavelet-domain methods for room impulse response denoising rely on thresholding detail coefficients, which is unsuited for low frequencies. In this work, we introduce a wavelet-based post-processing algorithm that extends denoising to approximation coefficients by means of sparse dictionary learning with a time-varying error tolerance. The proposed method leverages an exponential decay envelope model to adapt reconstruction accuracy according to the local signal-to-noise ratio. This approach significantly improves low-frequency denoising of synthetic and measured room impulse responses compared to the baseline method, leading to more accurate estimation of acoustic parameters such as decay time. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_26669 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Full band denoising of room impulse response in the wavelet domain with dictionary learning Dupré, Théophile Couderc, Romain Moleron, Miguel Coulon, Axel Bruno, Rémy Laborie, Arnaud Sound Optimization and Control Conventional wavelet-domain methods for room impulse response denoising rely on thresholding detail coefficients, which is unsuited for low frequencies. In this work, we introduce a wavelet-based post-processing algorithm that extends denoising to approximation coefficients by means of sparse dictionary learning with a time-varying error tolerance. The proposed method leverages an exponential decay envelope model to adapt reconstruction accuracy according to the local signal-to-noise ratio. This approach significantly improves low-frequency denoising of synthetic and measured room impulse responses compared to the baseline method, leading to more accurate estimation of acoustic parameters such as decay time. |
| title | Full band denoising of room impulse response in the wavelet domain with dictionary learning |
| topic | Sound Optimization and Control |
| url | https://arxiv.org/abs/2604.26669 |