Perl Yonatan Sanz, Arneodo Ezequiel M, Amador Ana, Goller Franz, Mindlin Gabriel B
Department of Physics, FCEyN, University of Buenos Aires Ciudad Universitaria, Buenos Aires, Argentina.
Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Nov;84(5 Pt 1):051909. doi: 10.1103/PhysRevE.84.051909. Epub 2011 Nov 16.
We reconstruct the physiological parameters that control an avian vocal organ during birdsong production using recorded song. The procedure involves fitting the time dependent parameters of an avian vocal organ model. Computationally, the model is implemented as a dynamical system ruling the behavior of the oscillating labia that modulate the air flow during sound production, together with the equations describing the dynamics of pressure fluctuations in the vocal tract. We tested our procedure for Zebra finch song with, simultaneously recorded physiological parameters: air sac pressure and the electromyographic activity of the left and right ventral syringeal muscles. A comparison of the reconstructed instructions with measured physiological parameters during song shows a high degree of correlation. Integrating the model with reconstructed parameters leads to the synthesis of highly realistic songs.
我们利用录制的鸟鸣声重建了鸟类鸣叫产生过程中控制鸟类发声器官的生理参数。该过程涉及拟合鸟类发声器官模型的时间相关参数。在计算上,该模型被实现为一个动态系统,它支配着在声音产生过程中调节气流的振荡唇的行为,以及描述声道中压力波动动态的方程。我们用同时记录的生理参数——气囊压力以及左右腹侧鸣肌的肌电图活动,对斑胸草雀鸣叫的过程进行了测试。将重建的指令与鸣叫过程中测量的生理参数进行比较,结果显示出高度的相关性。将该模型与重建参数相结合,能够合成高度逼真的鸟鸣声。