This paper describes a novel method for speaker normalization based on a frequency warping approach to reduce variations due to speaker-induced factors such as the vocal tract length. In our approach, a speaker normalized acoustic model is trained using time-varying (i.e., state, phoneme or word dependent) warping factors, while in the conventional approaches, the frequency warping factor is xe...

All image warping algorithms to date are image-independent, namely, relate only to the geometry of the image plane, ignoring the content of the image. We show that taking the image content into account yields elaborate warping schemes which may be used to enhance, sharpen and scale images. Sharpening the image is achieved by "squashing" the pixels in edge areas, and "stretching" the pixels in f...

A time synchronization system is a helpful tool for different applications, such as language education and speech therapy. We present a system that performs temporal alignment of two utterances of the same phrase. The system consists of two parts. In the first part the time warping function is determined with Dynamic Time Warping (DTW). In the second part the time scale of one utterance is modi...

A space warping method, facilitating the modeling of large-scale conformational changes in mesoscopic systems, is presented. The method uses a set of "global (or collective) coordinates" that capture overall behavior, in conjunction with the set of atomic coordinates. Application of the space warping method to energy minimization is discussed. Several simulations where the method is used to det...

In an effort to reduce the degradation in speech recognition performance caused by variation in vocal tract shape among speakers, a frequency warping approach to speaker normalization is investigated. A set of low complexity, maximum likelihood based frequency warping procedures have been applied to speaker normalization for a telephone based connected digit recognition task. This paper present...

Increasingly, data collected by scientists in different fields are in the form of trajectories or curves. These curves can often be viewed as realizations of a composite process driven by both amplitude and time variation. We consider the situation where functional variation is dominated by time variation, and develop a curve-synchronization method that uses every trajectory in the sample as a ...

Similarity measure scheme on moving objects has become a topic of increasing in the area of moving databases. In this paper, we propose a new similarity search algorithm for efficient sub-trajectory matching. For measuring similarity between two sub-trajectories, we propose a new v(variable)-warping distance algorithm which enhances the existing time warping distance algorithm by permitting up ...

The compact representation of harmonic amplitudes in the sinusoidal coding of voiced speech is often achieved by the all-pole modeling of a spectral envelope. The perceptual accuracy of the representation may be enhanced by the use of frequency-scale warping prior to LP modeling. The effectiveness of a frequency warping function has been shown in previous work to depend on the underlying signal...

Conventional voxel-based group analysis of functional magnetic resonance imaging (fMRI) data typically requires warping each subject’s brain images onto a common template to create an assumed voxel correspondence. The implicit assumption is that aligning the anatomical structures would correspondingly align the functional regions of the subjects. However, due to anatomical and functional inter-...

The sequence database is a set of data sequences, each of which is an ordered list of elements [1]. Sequences of stock prices, money exchange rates, temperature data, product sales data, and company growth rates are the typical examples of sequence databases [2, 8]. Similarity search is an operation that finds sequences or subsequences whose changing patterns are similar to that of a given quer...