Audio denoising method and related apparatus, device, and storage medium

By combining prior estimation, diffusion mechanisms, and corrected spectrograms, a new audio denoising technology has been developed, which solves the problems in the existing audio denoising technology field, particularly in audio denoising methods, related devices, equipment, and storage media.

CN122417049APending Publication Date: 2026-07-17SHANGHAI SENSETIME INTELLIGENT TECH CO LTD
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Patent Information

Application Number
CN202610433529.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-02
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing audio denoising techniques struggle to balance high fidelity and denoising capability while reducing the number of inference steps. In particular, prediction-based methods are prone to over-smoothing or distortion, while generative methods suffer from extremely high inference burden and latency.

Method used

A combined approach of prior estimation, diffusion mechanism, and spectrogram correction is adopted. Prior estimation is used to obtain a rough clean audio spectrogram, diffusion mechanism is used for noise reduction optimization, and possible lost information is supplemented in the spectrogram correction stage, thereby reducing the number of inference steps and improving the noise reduction quality.

Benefits of technology

While reducing the number of inference steps, it improves the fidelity and noise reduction capability of audio denoising, thereby enhancing denoising efficiency and quality.

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Abstract

本申请公开了一种音频去噪方法及相关装置、设备和存储介质,其中,音频去噪方法包括:基于待处理音频的第一声谱图进行先验估计,得到第二声谱图;其中,第二声谱图表征粗略估计的干净音频声谱图;基于扩散机制参考第一声谱图处理第二声谱图,得到第三声谱图;其中,第三声谱图表征经过降噪优化之后的干净音频声谱图;基于第一声谱图对第三声谱图进行声谱校正,得到目标声谱图。上述方案,通过“先验估计‑扩散机制‑声谱校正”的三个阶段分工明确、解耦互补,能够在减少推理步数下,尽可能地兼顾音频去噪的高保真度和去噪能力,以提升音频去噪的效率和质量。
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