982 research outputs found

    Modeling Dependent Structure for Utterances in ASR Evaluation

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    The bootstrap resampling method has been popular for performing significance analysis on word error rate (WER) in automatic speech recognition (ASR) evaluation. To deal with dependent speech data, the blockwise bootstrap approach is also introduced. By dividing utterances into uncorrelated blocks, this approach resamples these blocks instead of original data. However, it is typically nontrivial to uncover the dependent structure among utterances and identify the blocks, which might lead to subjective conclusions in statistical testing. In this paper, we present graphical lasso based methods to explicitly model such dependency and estimate uncorrelated blocks of utterances in a rigorous way, after which blockwise bootstrap is applied on top of the inferred blocks. We show the resulting variance estimator of WER in ASR evaluation is statistically consistent under mild conditions. We also demonstrate the validity of proposed approach on LibriSpeech dataset

    Complex electronic states in double layered ruthenates (Sr1-xCax)3Ru2O7

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    The magnetic ground state of (Sr1x_{1-x}Cax_x)3_3Ru2_2O7_7 (0 x\leq x \leq 1) is complex, ranging from an itinerant metamagnetic state (0 x<\leq x < 0.08), to an unusual heavy-mass, nearly ferromagnetic (FM) state (0.08 <x<< x < 0.4), and finally to an antiferromagnetic (AFM) state (0.4 x\leq x \leq 1). In this report we elucidate the electronic properties for these magnetic states, and show that the electronic and magnetic properties are strongly coupled in this system. The electronic ground state evolves from an AFM quasi-two-dimensional metal for x=x = 1.0, to an Anderson localized state for 0.4x<1.00.4 \leq x < 1.0 (the AFM region). When the magnetic state undergoes a transition from the AFM to the nearly FM state, the electronic ground state switches to a weakly localized state induced by magnetic scattering for 0.25x<0.40.25 \leq x < 0.4, and then to a magnetic metallic state with the in-plane resistivity ρabTα\rho_{ab} \propto T^\alpha (α>\alpha > 2) for 0.08<x<0.250.08 < x < 0.25. The system eventually transforms into a Fermi liquid ground state when the magnetic ground state enters the itinerant metamagnetic state for x<0.08x < 0.08. When xx approaches the critical composition (xx \sim 0.08), the Fermi liquid temperature is suppressed to zero Kelvin, and non-Fermi liquid behavior is observed. These results demonstrate the strong interplay between charge and spin degrees of freedom in the double layered ruthenates.Comment: 10 figures. To be published in Phys. Rev.

    Control strategy of wind turbine based on permanent magnet synchronous generator and energy storage for stand-alone systems

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    On Galilean conformal bootstrap

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    In this work, we develop conformal bootstrap for Galilean conformal field theory (GCFT). In a GCFT, the Hilbert space could be decomposed into quasiprimary states and its global descendants. Different from the usual conformal field theory, the quasi-primary states in a GCFT constitute multiplets, which are block-diagonized under the Galilean boost operator. More importantly the multiplets include the states of negative norms, indicating the theory is not unitary. We compute global blocks of the multiplets, and discuss the expansion of four-point functions in terms of the global blocks of the multiplets. Furthermore we do the harmonic analysis for the Galilean conformal symmetry and obtain an inversion formula. As the first step to apply the Galilean conformal bootstrap, we construct generalized Galilean free theory (GGFT) explicitly. We read the data of GGFT by using Taylor series expansion of four-point function and the inversion formula independently, and find exact agreement. We discuss some novel features in the Galilean conformal bootstrap, due to the non-semisimpleness of the Galilean conformal algebra and the non-unitarity of the GCFTs.Comment: 75 pages, 2 figures, 4 tables; v2: references added, typos corrected; v3: references added, typos corrected, new appendices adde
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