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首页> 外文期刊>IEEE Transactions on Consumer Electronics >Mechanical noise suppression based on non-negative matrix factorization and multi-band spectral subtraction for digital cameras
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Mechanical noise suppression based on non-negative matrix factorization and multi-band spectral subtraction for digital cameras

机译:基于非负矩阵分解和多带谱减法的数码相机机械噪声抑制

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摘要

This paper proposes a new non-stationary noise suppression method to reduce the mechanical noise generated when audio signals are recorded with a digital camera. The proposed method first utilizes a non-negative matrix factorization (NMF) technique to estimate the noise spectrum of the mechanical noise from the noisy audio spectrum. After that, the mechanical noise contaminated in the audio signal is suppressed by multi-band spectral subtraction. In particular, the NMF technique estimates the noise spectrum in a frame-wise manner in order for the proposed method to operate in real-time. The performance of the proposed mechanical noise suppression method is evaluated in terms of log-spectral distortion, cepstral distortion, subjective quality, and computational complexity. In addition, it is compared with the performance of conventional methods. It is shown from the evaluation that the proposed method provides lower log-spectral and cepstral distortions with better subjective preference than conventional methods. Moreover, the complexity of the proposed method is low enough to be implemented on a commercially available digital camera.
机译:本文提出了一种新的非平稳噪声抑制方法,以减少用数码相机记录音频信号时产生的机械噪声。所提出的方法首先利用非负矩阵分解(NMF)技术从嘈杂的音频频谱中估计机械噪声的噪声频谱。之后,通过多频带频谱减法来抑制音频信号中污染的机械噪声。具体而言,NMF技术以逐帧方式估计噪声频谱,以使所提出的方法实时运行。根据对数谱失真,倒谱失真,主观质量和计算复杂度,评估了所提出的机械噪声抑制方法的性能。另外,将其与常规方法的性能进行比较。从评估中可以看出,与传统方法相比,该方法可提供较低的对数谱和倒谱失真,并具有更好的主观偏好。而且,所提出的方法的复杂度足够低以至于不能在可商购的数码相机上实现。

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