Recently, Shifted Delta Cepstral (SDC) feature was reported to produce superior performance to the delta and delta-delta features in cepstral feature based language identification (LID) systems [1, 2]. This paper examines the application of SDC features in speaker verification and evaluates its robustness to channel mismatch, manner of speaking and session variability. The result of the experim...

The DARPA RATS program was established to foster development of language technology systems that can perform well on speaker-to-speaker communications over radio channels that evince a wide range in the type and extent of signal variability and acoustic degradation. Creating suitable corpora to address this need poses an equally wide range of challenges for the collection, annotation and qualit...

background: using spatial analysis tools to determine the spatial patterns of china province-level perinatal mortality and using spatial econometric model to examine the impacts of health care resources and different socio-economic factors on perinatal mortality. methods: the global moran’s i index is used to examine whether the spatial autocorrelation exists in selected regions and moran’s i s...

introduction: variable resolution x-ray (vrx) ct is a new type of ct that can image objects at various spatial resolutions. in a vrx ct scanner, the spatial resolution increases at the cost of reduction in the field of view (fov). an important factor that limits the spatial resolution of the vrx ct is the effect of focal spot size. also, the optimum magnification is different at each incident a...

Steady-state detection has been an important tool in data processing, for nonlinear model identification, real time optimization, variability analysis, and so on. In this article, it is proposed a new methodology applied to multivariate systems for steadystate detection based on PCA and wavelets. The proposed approach is applied to an industrial distillation column. The combination of PCA and w...

Radio Frequency Identification (RFID) is an increasingly popular technology that uses radio signals for object identification. Successful object identification is the primary objective of RFID technology (after all, the last two letters of the acronym “RFID” stand for “identification”). Yet, a recent major study by Wal-Mart has shown that object detection probability can be as low as 66%. In th...

Multiword expressions (MWEs) are known as a “pain in the neck” for NLP due to their idiosyncratic behaviour. While some categories of MWEs have been addressed by many studies, verbal MWEs (VMWEs), such as to take a decision, to break one’s heart or to turn off, have been rarely modelled. This is notably due to their syntactic variability, which hinders treating them as “words with spaces”. We d...

In the domain of sign language recognition from video, most approaches try to segment and track the hands and head of the signer in a first step and subsequently extract a feature vector from these regions [1, 2]. Because of possible occlusions between the hands and the head of the signer, noise, or brisk movements, segmentation can be difficult. Many approaches therefore use special data acqui...

In the field of speech, speaker and language recognition, significant gains have and are being made with new machine learning strategies along with the availability of new and emerging speech corpora. However, many of the core scientific principles required for effective speech processing research appear to be drifting to the sidelines with the assumptions that access to larger amounts of data ...

Day-to-day variation of the corrected orthogonial electrocardiogram was investigated in 20 normal subjects. Ten recordings were made in each individual witlh chest electrode positions left unmarked first, after which 10 subjects underwent another series of 10 consecutive daily recordings with marked electrode locations. Mean and maximal day-to-day variations of durations and amplitudes of diffe...