This paper describes a multi-template unsupervised speaker adaptation based on HMM-Sufficient Statistics. Multiple class-dependent models based on gender and age are used to push up the adaptation performance while keeping adaptation time within few seconds with just one arbitrary utterance. Adaptation begins with the estimation of speaker‘s class from the N-best neighbor speakers using Gaussia...

Wavelets have been used with great success in applications such as signal denoising, compression, estimation and feature extraction. This is because of their ability to capture singularities in the signal with a few coefficients. Applications that consider the statistical dependencies of wavelet coefficients have been shown to perform better than those which assume the wavelet coefficients as i...

Nowadays, the explosive growth of personalized web applications and rapid development artificial intelligence technology have flourished recent research on mobile user profiling, i.e., inferring profile from behavioral data. Particularly, existing studies mainly follow data-driven paradigm to develop feature engineering representation learning such data, which however suffer robustness issue, g...

In this paper we address the problem of accurately estimating the runtime and communication time of a client request in a Network Enabled Server (NES) middleware such as GridSolve. We use a template based model for the runtime estimation and a client-server communication test for the trannsfer time estimation. We implement these two mechanisms in GridSolve and test them on a real testbed. Exper...

ÐComputing the weighted average of the pixel values in a window is a basic module in many computer vision operators. The process is reformulated in a linear vector space and the role of the different subspaces is emphasized. Within this framework wellknown artifacts of the gradient-based edge detectors, such as large spurious responses can be explained quantitatively. It is also shown, that tem...

Tracking planar objects has a wide range of applications in robotics. Conventional template tracking algorithms, however, often fail to observe fast object motion or drift significantly after a period of time, due to drastic object appearance change. To address such challenges, we propose a novel constrained confidence matching algorithm for motion estimation and a robust Kalman filter for temp...

In order to design industrial products fitting well to the human body, it is necessary to make full use of information of human anatomical landmarks. These landmarks however cannot be extracted automatically from point cloud data of human body surface obtained by a 3D scanner. In our previous report, we proposed the method of extracting the landmarks automatically by deforming the template of p...

Motion Estimation is a core part of modern video coding standards, which highly improves the compression efficiency. On the other hand, motion information takes considerable portion of compressed bit stream, especially in low bit rate situation. In this paper, an efficient motion vector prediction algorithm is proposed to minimize the bits used for coding the motion information. Several spatial...