43 research outputs found

    Implicit spoken language diarization

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    Spoken language diarization (LD) and related tasks are mostly explored using the phonotactic approach. Phonotactic approaches mostly use explicit way of language modeling, hence requiring intermediate phoneme modeling and transcribed data. Alternatively, the ability of deep learning approaches to model temporal dynamics may help for the implicit modeling of language information through deep embedding vectors. Hence this work initially explores the available speaker diarization frameworks that capture speaker information implicitly to perform LD tasks. The performance of the LD system on synthetic code-switch data using the end-to-end x-vector approach is 6.78% and 7.06%, and for practical data is 22.50% and 60.38%, in terms of diarization error rate and Jaccard error rate (JER), respectively. The performance degradation is due to the data imbalance and resolved to some extent by using pre-trained wave2vec embeddings that provide a relative improvement of 30.74% in terms of JER

    Mahatma Gandhi and the Prisoner’s Dilemma: Strategic Civil Disobedience and Great Britain’s Great Loss of Empire in India

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    This paper examines the relationship between statutory monopoly and collective action as a multi-person assurance game culminating in an end to British Empire in India. In a simple theoretical model, it is demonstrated whether or not a collective good enjoys (or is perceived to enjoy) pure jointness of production and why the evolutionary stable strategy of non-violence was supposed to work on the principle that the coordinated reaction of a ethnically differentiated religious crowd to a conflict between two parties (of colonizer and colonized) over confiscatory salt taxation would significantly affect its course. Following Mancur Olson (1965) and Dennis Chong (1991), a model of strategic civil disobedience is created which is used to demonstrate how collective action can be used to produce an all-or-nothing public good to achieve economic and political independence

    Path-VQA

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    VQA_dataset_French

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    Effect of multilayer selective radiative anti-reflective coating on crystalline silicon photovoltaics for operating temperature reduction

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    Low heat transfer coefficient of ethylene-vinyl acetate hinders heat evacuation, and this causes a rise in temperature of the laminated solar module under AM1.5 spectrum. A new selective radiative antireflective coating (SR-ARC) has been proposed for the temperature reduction of the solar module and also effort has been made to improve the absorption in the 300–1100 nm wavelength range. We have compared the single, dual, triple and quad-layer of different transparent ARC materials with a different combination. In each category, we have optimised the SiO2, Al2O3, Si3N4 and TiO2 thin films layer stack as ARC coating and then compared the stacks for their SR-ARC properties.
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