We present "DiViMe", an open-source virtual machine aimed at packaging speech technology for real-life data, and developed in the context of the "Analyzing Children's Language Environments across the World" Project. This first release focuses on Speech Activity Detection, Speaker Diarization, and their evaluation. The present paper introduces the set of included tools and the current workflow, which is focused on making minimal assumptions regarding users' technical skills. Additionally, we show how the current DiViMe tools fare against three sets of challenging data. In a first experiment, we look at performance with samples extracted from daylong recordings gathered using the LENA TM system from English-learning children. We find that the performance of the tools currently in DiViMe is not far from that achieved by the LENA TM proprietary software. In a second experiment, we generalize to other samples of child-centered daylong files, gathered with non-LENA TM hardware from non-English-learning children, showing that performance does not degrade in this condition. Finally, we report on performance in the DiHARD 2018 Challenge Test Data. Originally conceived in the "Speech Recognition Virtual Kitchen", DiViMe is a promising platform for packaging speech technology tools for widespread re-use, with potential impact on both fundamental and applied speech and language research.
The 0 pseudonorm counts the nonzero coordinates of a vector. It is often used in optimization problems to enforce the sparsity of the solution. However, this function is nonconvex and noncontinuous, and optimization problems formulated with 0 -be it in the objective function or in the constraints -are hard to solve in general. Recently, a new family of coupling functions -called Capra (constant along primal rays)has proved to induce relevant generalized Fenchel-Moreau conjugacies to handle the 0 pseudonorm. In particular, under a suitable choice of source norm on R d -used in the definition of the Capra coupling -the function 0 is Capra-subdifferentiable, hence is Capra-convex. In this article, we give explicit formulations for the Caprasubdifferential of the 0 pseudonorm, when the source norm is a p norm with p ∈ [1, ∞]. We illustrate our results with graphical visualizations of the Capra-subdifferential of 0 for the Euclidean source norm.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.