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Non-impulsive signal deconvolution for computation of violin impulse responses

机译:非脉冲信号反卷积用于计算小提琴脉冲响应

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This work presents a method to compute violin body impulse responses (BIR) of acoustic violins that are adapted to the signal captured with an electric violin (a violin with a transducer measuring vibration). The computed BIRs correspond to the transfer function that maps the pickup signal of the electric violin to the radiated acoustic sound of the acoustic violins. By convolution of the pickup signal with the corresponding BIR, we pretend to simulate the radiated sound of the acoustic violin by playing the electric one. The method to obtain the BIRs is based on signal deconvolution between a recorded audio signal of an acoustic violin and the signal coming from an electric violin's pickup. The recorded signals consist of glissandi performed with a violin-playing machine enhanced with motion sensors that provide the bowing parameters (bowing position, velocity and force). By controlling the bowing parameters and analyzing the fundamental frequency of each frame we perform the deconvolution on equivalent frames and obtain the desired impulse response between the two instruments. A user survey consisting of violinists and non-violinists was performed to evaluate the obtained results with respect to the original pickup signal.
机译:这项工作提出了一种计算声学小提琴的小提琴体冲激响应(BIR)的方法,该方法适合于用电子小提琴(带有测量振动的传感器的小提琴)捕获的信号。计算出的BIR对应于将电子小提琴的拾音信号映射到原声小提琴的辐射声的传递函数。通过将拾取信号与相应的BIR卷积,我们假装通过弹奏电子小提琴来模拟小提琴的辐射声。获得BIR的方法是基于原声小提琴的已录制音频信号与来自电小提琴拾音器的信号之间的信号反卷积。记录的信号包括用小提琴演奏机执行的滑行,该小提琴演奏机增强了运动传感器,可提供弯曲参数(弯曲位置,速度和力)。通过控制弯曲参数并分析每个帧的基本频率,我们可以在等效帧上执行反卷积,并在两个乐器之间获得所需的脉冲响应。进行了由小提琴家和非小提琴家组成的用户调查,以评估相对于原始拾音信号获得的结果。

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