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Constrained estimation of percussive sound excitations

机译:受限制估计打击声刺激的估计

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Source-filter models for sound resynthesis are useful in applications including compression of audio data and restoration of noisy recordings. Driven by actual recordings of sounding objects, resynthesis methods require system identification and excitation source estimation. Such methods may be entirely data-driven, but they may also incorporate a priori knowledge of systems or excitations. This paper proposes a method of estimating the excitation of percussively struck resonant objects from sound recordings, constraining the excitation to be time-limited. The constraint serves to use prior knowledge of the short duration of the excitations of percussive sounds, improving estimation when compared to other methods of unconstrained estimation and inverse filtering. Evaluated examples and simulations demonstrate the proposed method's robustness to noise and applicability to the analysis and resynthesis of acoustic recordings.
机译:声音重新合交的源过滤器模型可用于包括压缩音频数据的应用和噪声录制的恢复。由探测物体的实际记录驱动,重新合成方法需要系统识别和激励源估计。此类方法可能完全是数据驱动的,但它们也可以纳入系统或激励的先验知识。本文提出了一种估算从录音的冲击冲击谐振物体的激励的方法,限制了被时间限制的激励。约束用于使用预先知道冲击声的持续时间的先验知识,与其他无约束估计和反滤波的其他方法相比,提高估计。评估的实施例和仿真展示了所提出的方法对噪声的稳健性以及对声记录的分析和重新合成的适用性。

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