Intonation generation in state-of-the-art speech synthesis requires the analysis of a large amount of data. Therefore reliable algorithms for the extraction of the parameters of an intonation model from a given F0 contour are required. This contribution proposes improvements concerning the extraction of the parameters of the quantitative intonation model developed by Fujisaki. The improvements ...

In this paper an unsupervised scheme for stereoscopic video object extraction is presented based on a neural network classifier. More particularly, the procedure includes: (A) A retraining algorithm for adapting neural network weights to current conditions and (B) An active contour module, which extracts the retraining set. The retraining algorithm takes into consideration both the former and t...

Studying tongue motion during speech using ultrasound is a standard procedure, however automatic ultrasound image labelling remains a challenge, as standard tongue shape extraction methods typically require human intervention. This article presents a method based on deep neural networks to automatically extract tongue contours from speech ultrasound images. We use a deep autoencoder trained to ...

Lesions and its contours are prominent signatures to determine malignancy in mammograms. Detection of the masses and their spread in mammogram is important for radiologists. It is also important to detect the shape of the contour or boundary to delineate malignant and benign lesions as malignant lesions have speculated or ill-defined boundary and benign mass have smooth boundary. Automatic dete...

This study is concerned with the segmentation of cytological images and extraction of cellular entities in order to provide quantitative data about the number of cells in culture (statistical tests, morphology, model of evolution, etc). This quantitative supply is useful in biology to evaluate the consequences of the application of active substances on morphological changes and cellular viabili...

This paper compares contour based and noncontours based techniques for extracting words from unconstrained handwritten text lines. Proposed novel approach is based on contours of the words rather only considering threshold for inter-word gaps as previous studies. In this approach, contour of each word is examined along with threshold for inter-word gaps to extract words with high confidence. Un...

The new MPEG-4 video coding standard consists of object based coding schemes for multimedia and enables content based functionalities. Video objects in still pictures or video sequences should be first identified before the encoding process starts. An algorithm based on information fusion, which can be used for the extraction of foreground objects in video streams is proposed in this paper. The...

This paper presents human body posture estimation methods based on analysis of human silhouette and investigates their characteristics. Two types of estimation method are presented: one method is based on both the heuristically extraction method of estimating the significant points of human body and the contour analysis of the human silhouette, and the other is using artificial neural network. ...

MR Imaging techniques provide a non-invasive and accurate method for determining the ultra-structural features of human anatomy. In this study, we utilise a novel approach to segment out the ventricular system in a series of high resolution T1-weighted MR images. Our approach is based on an automated landmark extraction algorithm which automatically selects points along the contour of the ventr...

Automatic extraction of the melody from polyphonic music recordings is a challenging problem for which no general solutions currently exist. We present a novel interface for semi-automatic melody extraction with the goal to provide highly accurate pitch tracks of the lead voice with minimal user intervention. Audio-visual feedback facilitates the validation of the obtained melodic contour, and ...