Segmental models such as segmental conditional random fields have had some recent success in lattice rescoring for speech recognition. They provide a flexible framework for incorporating a wide range of features across different levels of units, such as phones and words. However, such models have mainly been trained by maximizing conditional likelihood, which may not be the best proxy for the t...

OBJECTIVE To propose a new surgical technique as an alternative method for the correction of segmental trichiasis and distichiasis. MATERIAL AND METHOD An interventional case series reviewed the segmental trichiasis and distichiasis patients who were treated with folliculectomy in the Ophthalmology Department, King Chulalongkorn Memorial Hospital. The data was collected from January 1997 to D...

OBJECTIVES This study sought to characterize the echocardiographic features of straddling mitral valve (SMV) and to determine its surgical implications and midterm outcome in a large clinical cohort. BACKGROUND Despite a relatively large body of literature on the postmortem anatomy of SMV, there is a paucity of information regarding its echocardiographic features, surgical implications and pr...

Background: Sub-acute bacterial endocarditis (SBE) rarely presents with features of a small vessel vasculitis. Patients with SBE can also develop multiple serological abnormalities including ANCA. In this report, we present a case of infective endocarditis mimicked ANCA associated glomerulonephritis.Case presentation: A 57-year old male with a clinical picture of rapidly progressive renal failu...

We propose a signal processing method that transforms foreign-accented speech to resemble its native-accented counterpart. The problem is closely related to voice conversion, except that our method seeks to preserve the organic properties of the foreign speaker’s voice; i.e., only those features which cue foreign-accentedness are to be transformed. Our method operates at two levels: prosodic an...

In this paper, we use prosodic information to improve the accuracy of our template-based automatic speech recognizer. Prosodic information is harvested adopting a data-driven approach. A number of prosodic features is extracted, then combined into major groups, and finally studied separately and together. All acoustic evidence, both segmental and suprasegmental, is modelled non-parametrically. ...

Spontaneous intestinal perforations are localized perforations without the typical clinical, radiological, and histopathological features of necrotizing enterocolitis. Spontaneous intestinal perforation is a recently defined clinical entity. The best-known risk factor is prematurity. It is seen 2-3% in very low birthweight infants and 5 % of extremely low birthweight infants. Herein we report a...

Two variants of focal segmental glomerulosclerosis are known to present epithelial hypercellularity in the Bowman's space, namely the collapsing and the cellular types. This epithelial cell proliferation may get features of either pseudocrescent or tubular profiles. Our case of collapsing focal segmental glomerulosclerosis has been ultrastructurally investigated concerning the proliferating epi...

This paper describes a new toolkit SCARF for doing speech recognition with segmental conditional random fields. It is designed to allow for the integration of numerous, possibly redundant segment level acoustic features, along with a complete language model, in a coherent speech recognition framework. SCARF performs a segmental analysis, where each segment corresponds to a word, thus allowing f...

Phonemic settings and the internal models that they represent are learned in the process of language and speech acquisition. Postural settings, in contrast, rely on continuous auditory monitoring and tend to break down quickly if this monitoring process is inhibited during speech production. Evidence presented in the literature seems to indicate that stable internal models are mostly associated...