This paper presents a flexible voice morphing method, which is based on a conversion using a linear combination of the vocal tract area functions estimated from speech signals. The method focuses on the continuity of the phonological identity of the overall interpolated area. The main features of the method are 1) to separate characteristics of the vocal tract resonances from those of glottal s...

The self-reconfigurable modular robot consists of many identical modules. By connecting to/disconnecting from other modules, the whole structure of the robot can transform into arbitrary other configurations. First, the lattice-type self-reconfigurable modular robot is proposed and its disconnected/connected mechanism is analyzed, which can finish self-morphing action. Second, the basic configu...

In this paper, we present a novel method to address the trajectory problem in 2D shape morphing based on the Laplacian coordinates (LCs). Although the LCs capture the geometric details of a shape, they are built in the global coordinate system and thus not rotation invariant [1, 7]. By adding rotation coherence constraints to as-rigid-as-possible transformations applied on the LCs, we make the ...

Image morphing algorithms create an intermediate image that resembles both the source image and the target image simultaneously. Most existing morphing algorithms incur information loss, thus, they cannot reconstruct the original images accurately. This paper proposes a novel, lossless image morphing (LIM) algorithm, designed so that the original image can be losslessly reconstructed from the m...

A new type of ensemble filter is proposed, which combines an ensemble Kalman filter (EnKF) with the ideas of morphing and registration from image processing. This results in filters suitable for nonlinear problems whose solutions exhibit moving coherent features, such as thin interfaces in wildfire modeling. The ensemble members are represented as the composition of one common state with a spat...

We present a powerful morphing technique based on level set methods, that can be combined with a variety of scan conversion/model processing techniques. Bringing these techniques together creates a general morphing approach that allows a user to morph a number of geometric model types in a single animation. We have developed techniques for converting several types of geometric models (polygonal...

This paper presents our research into morphing algorithms for generating musical transitions, including digitally inspired composing techniques as well as models of existing creative processes. We show that it is possible to generate effective morphs between contrasting musical passages and describe some ways in which iterative developments seem to have improved the musicality of the generated ...

Exploring the transformation of spatial mechanisms from their unfolded to controlled folding states meet requirements various application scenarios has long been a hot topic in mechanical structure research. Although conventional can be designed almost any scenario, design’s complex and excessive combinations structural components, kinematic pairs, drive units are unavoidable. It introduces man...

We present in this paper a systematic study on how to morph a well-trained neural network to a new one so that its network function can be completely preserved. We define this as network morphism in this research. After morphing a parent network, the child network is expected to inherit the knowledge from its parent network and also has the potential to continue growing into a more powerful one...

We propose a novel morphing algorithm for objects represented by point-sampled geometry. The fundamental problem of point-sampled geometry morphing is how to set the correspondence between points of the two objects which are usually of different size. The two objects are first parameterized by projecting the sample points onto a common parametric domain. As both objects are densely sampled, we ...