1. GENERAL COMMENTS This is a brief note to comment on a few points related to two excellent keynote papers by Greenberg 3] and by Stern et al 5]. In a sense, Stern's paper describes the current technology; in particular, approaches to adjusting ASR systems based on phone or sub-phone-based HMMs in order to improve performance in the presence of noise and linear channel eeects. On the other han...

introduction: birth weight is one of the important sanitary indices in evaluating the prenatal care all over the world. the purpose of this research was to determine the relationship between the bio-environmental characteristics of mothers with infant’s birth weight. materials and methods: in corrolation study, first, all newborn babies in hospitals and maternity centers khuzestan between farwa...

The paper presents the task of recognizing environmental sounds for audio surveillance and security applications. A various characteristics have been proposed for audio classification, including the popular Mel-frequency cepstral coefficients (MFCCs) which give a description of the audio spectral shape. However, it exist some temporal-domain features. These last have been developed to character...

The paper considers the task of recognizing environmental sounds for the understanding of a scene or context surrounding an audio sensor. A variety of features have been proposed for audio recognition, including the popular Mel-frequency cepstral coefficients (MFCCs) which describe the audio spectral shape. Environmental sounds, such as chirpings of insects and sounds of rain which are typicall...

Climate varies, both temporally and spatially, and the focus of the body of palaeoclimatic research has been to characterize and explain this variation. What has emerged is a view of climate as a multi-component system that varies across a range of temporal and spatial scales. Imbedded in these variations are some characteristic features such as trends, abrupt changes, periodicities, and the fo...

A B S T R A C T “Addiction” is a multifaceted complicated disorder with many interrelated causes, as well as environmental and genetic features. Several hereditary variables that have an effect on these features might work in together to influence vulnerability and the extent of being an addict. Molecular re-sequencing of the latest and formerly researched genes holds a crucial place with regar...

Environmental audio classification has been the focus in the field of speech recognition. For Environmental audio data, it is difficult to find an optimal classifier and select the optimal features from various features can be extracted. Random forest is a powerful machine learning classifier compared to other conventional pattern recognition techniques. In this paper, the performance of the Ra...

In ubiquitous environments, analysis and classification of sound plays a critical role in various acoustic-based recognition systems. This work aims to contribute towards building an automatic sound recognition system that can understand the surrounding environment by the audio information. In this paper, an acoustic signal based context awareness system is proposed for detecting sound events i...

In order to be effective, collective decision-making strategies need to be not only fast and accurate, but sufficiently general to be ported and reused across different problem domains. In this paper, we propose a novel problem scenario, collective perception, and use it to compare three different strategies: the DMMD, DMVD, and DC strategies. The robots are required to explore their environmen...

Human disturbance is widespread across landscapes in the form of roads that alter wildlife populations. Knowing which road features are responsible for the species response and their relevance in comparison with environmental variables will provide useful information for effective conservation measures. We sampled relative abundance of European rabbits, a very widespread species, in motorway ve...