Wavelet-based voice morphing

This paper presents a new multi-scale voice morphing algorithm. This algorithm enables a user to transform one person's speech pattern into another person's pattern with distinct characteristics, giving it a new identity, while preserving the original content. The voice morphing algorithm performs the morphing at different subbands by using the theory of wavelets and models the spectral conversion using the theory of Radial Basis Function Neural Networks. The results obtained on the TIMIT speech database demonstrate effective transformation of the speaker identity

Voice morphing using the generative topographic mapping

In this paper we address the problem of Voice Morphing. We attempt to transform the spectral characteristics of a source speaker's speech signal so that the listener would believe that the speech was uttered by a target speaker. The voice morphing system transforms the spectral envelope as represented by a Linear Prediction model. The transformation is achieved by codebook mapping using the Generative Topographic Mapping, a non-linear, latent variable, parametrically constrained, Gaussian Mixture Model

Factors Affecting Consumers’ Green Purchasing Behavior: An Integrated Conceptual Framework

In this modern era of societal marketing business ethics and social responsibility are becoming the guiding themes for marketing strategies and practices. Within the field of ethics and social responsibility environmental and green marketing topics are the central topics, which are closely related to biodiversity and sustainability. This paper suggests a different approach to assessing the variables of consumers’ green purchasing behavior. Based on thoroughly researched secondary data, this conceptual paper suggests a framework integrating the so far incoherent frameworks as proposed by previous authors. Emanating from this eclectic and chronological literature review, the paper will also propose further missing links that need to be included in the proposed integrated framework. Based on this holistic framework, in a future study, the authors will explain a sustainability index of green consumer behavior, which will be tested empirically in the study. In fact, from the proposed integrated framework, in total eight vital factors/aspects of green/environmental issues are likely to have an impact on consumer green purchasing behavior. Demographic variables will play an intervening or mediating role in the framework.pro-environmental consumer behaviour, sustainability, green consumer behavior, green purchasing

Students’ perception towards hospitality education: an Anglo-Cypriot critical study

The study investigates hospitality students' attitude towards hospitality education and hospitality careers. A qualitative approach was adapted to record students' attitude in the UK and Cyprus. The findings revealed that participants share common concerns and expectations regarding hospitality education and careers. A number of cognitive-person and external variables are perceived to act as influencing factors on hospitality education and careers, raising questions with regard to the student preparedness for the industry. This study provides a theoretical underpinning to hospitality literature that can be used to further fruitful thinking with implications for practice and further research

Quality Assessment of Ambulatory ECG Using Wavelet Entropy of the HRV signal

Data in recordings obtained from ambulatory patients using wearable sensors are often corrupted by motion artefact and are, in general noisier, than data obtained from non-mobile patients. Identifying and ignoring erroneous measurements from these data is very important, if wearable sensors are to be incorporated into clinical practice. In this paper we propose a novel Signal Quality Index (SQI), intended to assess whether reliable heart rates (HR) can be obtained from a single channel of ECG collected from ambulatory patients, using wearable sensors. The proposed system is based on wavelet entropy measurements of the heart rate variability (HRV) signal. The system was trained and tested on expertly labeled data from a particular wearable sensor and was also tested on labeled data from a different sensor. The sensitivities and specificities achieved were 94% and 98%, respectively, on data from the same sensor as the training set, and 91% and 97%, respectively, on data from a different sensor, indicating the potential of the system to generalize across different sensors. Because the system relies on a single channel of ECG it has the potential for inclusion in applications using wearable sensors and in the most basic clinical environments

Distinguishing between paediatric brain tumour types using multi-parametric magnetic resonance imaging and machine learning: a multi-site study

The imaging and subsequent accurate diagnosis of paediatric brain tumours presents a radiological challenge, with magnetic resonance imaging playing a key role in providing tumour specific imaging information. Diffusion weighted and perfusion imaging are commonly used to aid the non-invasive diagnosis of children's brain tumours, but are usually evaluated by expert qualitative review. Quantitative studies are mainly single centre and single modality. The aim of this work was to combine multi-centre diffusion and perfusion imaging, with machine learning, to develop machine learning based classifiers to discriminate between three common paediatric tumour types. The results show that diffusion and perfusion weighted imaging of both the tumour and whole brain provide significant features which differ between tumour types, and that combining these features gives the optimal machine learning classifier with >80% predictive precision. This work represents a step forward to aid in the non-invasive diagnosis of paediatric brain tumours, using advanced clinical imaging

Asymptomatic stage I sarcoidosis complicated by pulmonary tuberculosis: a case report

<p>Abstract</p> <p>Introduction</p> <p>Sarcoidosis is a multisystem granulomatous disorder characterized pathologically by the presence of non-caseating granulomas in involved tissues. Depressed cellular immunity predisposes patients to infections with certain intracellular organisms, mostly fungi, <it>Mycobacterium tuberculosis </it>and <it>Nocardia </it>species. As these infections are mainly insidious and difficult to differentiate from the underlying disease, a possible misdiagnosis may lead to fatal complications for the patient.</p> <p>Case presentation</p> <p>We present a case of a 67-year-old woman with undiagnosed asymptomatic stage I sarcoidosis for at least 8 years before her admission and a 1-month history of fever, exertional dyspnea and dry cough, in whom pulmonary tuberculosis was documented.</p> <p>Conclusion</p> <p>This case highlights the need for great vigilance among physicians in order to rule out any possible infection before establishing the diagnosis of sarcoidosis.</p

Tumour necrosis factor, interleukin-1 and adenosine deaminase in tuberculous pleural effusion

AbstractTumour necrosis factor (TNF) and interleukin-1 (IL-1) are powerful mediators with a key role in inflammation. This study was undertaken to study the presence of TNF and IL-1 in tuberculous effusion where there is marked inflammation and where examination of the pleural fluid may give information about the local inflammatory reaction. Adenosine deaminase activity (ADA, a marker of TB pleurisy) was also tested. Tumour necrosis factor, IL-1 and ADA levels were measured in the pleural fluid and serum of 97 patients; 33 with tuberculous effusion, 33 with malignant effusion, and 31 patients with benign non-tuberculous effusion. Pleural fluid TNF and ADA levels were higher in tuberculous (TB) patients than in patients with benign disorders or cancer (P<0·01). Serum TNF levels were also higher in TB patients than other benign (P<0·01) or malignant (P<0·05) effusions. There was a positive correlation between serum and pleural fluid values (r=0·998–0·999, P<0·001) although pleural fluid concentration was higher (P<0·001), possibly suggesting local production in the pleural cavity. Pleural fluid IL-1 levels were not raised in any patient group but there was a positive correlation between TNF and IL-1. In addition, a positive correlation was found between TNF and ADA levels, probably indicating some common production mechanism. Furthermore, ADA sensitivity in the diagnosis of tuberculous effusion was augmented by the combined use of TNF and ADA. The use of both these markers may prove useful in the differential diagnosis of TBC pleurisy