Modal analysis of a time‐varying vocal tract with losses: A comparison of left and right eigenfunctions

2006 ◽  
Vol 119 (5) ◽  
pp. 3303-3303
Author(s):  
Gordon J. Ramsay
2011 ◽  
Vol 130 (4) ◽  
pp. 2441-2441
Author(s):  
Yosuke Tanabe ◽  
Parham Mokhtari ◽  
Hironori Takemoto ◽  
Tatsuya Kitamura

1986 ◽  
Vol 80 (S1) ◽  
pp. S97-S97 ◽  
Author(s):  
Ian M. Firth
Keyword(s):  

2014 ◽  
Vol 49 (1-2) ◽  
pp. 154-164 ◽  
Author(s):  
Wout Weijtjens ◽  
John Lataire ◽  
Christof Devriendt ◽  
Patrick Guillaume

2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
Jingsha Zhang ◽  
Yongke Li ◽  
Xiaolin Ma ◽  
Zhilong Lin ◽  
Changlong Wang

In this paper, the problem of the delay-dependent robust H ∞ control for a class of uncertain neutral systems with mixed time-varying delays is studied. Firstly, a robust delay-dependent asymptotic stability criterion is shown by linear matrix inequalities (LMIs) after introducing a new Lyapunov–Krasovskii functional (LKF). The LKF including vital terms is expected to obtain results of less conservatism by employing the technique of various efficient convex optimization algorithms and free matrices. Then, based on the obtained criterion, analyses for uncertain systems and H ∞ controller design are presented. Moreover, on the analysis of the state-feedback controller, different from the traditional method which multiplies the matrix inequality left and right by some matrix and its transpose, respectively, we can obtain the state-feedback gain directly by calculating the LMIs through the toolbox of MATLAB in this paper. Finally, the feasibility and validity of the method are illustrated by examples.


2014 ◽  
Vol 24 (1) ◽  
pp. 7-20
Author(s):  
Brad H. Story

Models that take the form of artificial talkers and speech synthesis systems have long been used as a means of understanding both speech production and speech perception. The article begins with a brief history of two artificial speaking devices that exemplify the representation of speech production as a system of modulations. The development of a recent airway modulation model is then described that simulates the time-varying changes of the vocal tract and acoustic wave propagation. The result is a type of artificial talker that can be used to study various aspects of how sound is generated by humans and how that sound is perceived by a listener.


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