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This paper presents investigations into the ability of speaker verification technology to discriminate between identical twins. It is shown that whilst, in general, the genetic and non-genetic characteristics of voice are both of value to speaker verification capabilities, it is the latter which is highly beneficial in the separation of the speech of identical twins. It is further demonstrated that through the use of unconstrained cohort normalisation as a complementary means for the exploitation of such voice characteristics, the verification reliability can be considerably enhanced for both identical twins and unrelated speakers. Experiments were conducted using a bespoke clean-speech database consisting of utterances from 49 identical twin pairs. The paper details the problem in speaker verification posed by identical twins, discusses the experimental investigations and provides an analysis of the results.  相似文献   
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POPULATION: Bhargavas (n=120), Chaturvedis (n=120), Brahmins (n=120), Muslim Sunni (n=120), Muslim Shiya (n=120), Kayastha (n=120), Mathurs (n=120), Rastogies (n=120), and Vaish (n=120).  相似文献   
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Amit Ranjan 《圆桌》2016,105(3):311-319
Migration and emigration from Bangladesh is a pervasive phenomenon. Historically, large-scale migration from the region constituting the present Bangladesh started after tea plantations were introduced to Assam by the British in the early 19th century. Gradually, the number of migrants from this region increased due to geographic location, climate change and poverty. Over the years, there has been a change in the gender pattern of migration, where the proportion of female migrants has increased significantly. These migrants play a significant role in the Bangladesh economy, as remittances constituted about 8.21% of gross domestic product in 2014. This article examines why, despite the many dangers that the migrants face, including violence in the host countries and exploitation by their ‘masters’, the number of migrants from Bangladesh continues to rise constantly.  相似文献   
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