Trombone Synthesis by Model and Measurement

A physics-based synthesis model of a trombone is developed using filter elements that are both theoretically-based and estimatedfrom measurement. The model consists of two trombone instrument transfer functions: one at the position of the mouthpieceenabling coupling to a lip-valve model and one at the outside of the bell for sound production. The focus of this work is onextending a previously presented measurement technique used to obtain acoustic characterizations of waveguide elements forcylindrical and conical elements, with further development allowing for the estimation of the flared trombone bell reflection andtransmission functions for which no one-parameter traveling wave solution exists. A one-dimensional bell model is developedproviding an approximate theoretical expectation to which estimation results may be compared. Dynamic trombone modelelements, such as those dependent on the bore length, are theoretically and parametrically modeled. As a result, the trombonemodel focuses on accuracy, interactivity, and efficiency, making it suitable for a number of real-time computer music applications

Neo: A Learned Query Optimizer

Query optimization is one of the most challenging problems in database systems. Despite the progress made over the past decades, query optimizers remain extremely complex components that require a great deal of hand-tuning for specific workloads and datasets. Motivated by this shortcoming and inspired by recent advances in applying machine learning to data management challenges, we introduce Neo (Neural Optimizer), a novel learning-based query optimizer that relies on deep neural networks to generate query executions plans. Neo bootstraps its query optimization model from existing optimizers and continues to learn from incoming queries, building upon its successes and learning from its failures. Furthermore, Neo naturally adapts to underlying data patterns and is robust to estimation errors. Experimental results demonstrate that Neo, even when bootstrapped from a simple optimizer like PostgreSQL, can learn a model that offers similar performance to state-of-the-art commercial optimizers, and in some cases even surpass them

The impact of exploiting spectro-temporal context in computational speech segregation

The experimental data from the study: https://asa.scitation.org/doi/10.1121/1.5020273 Group 1 contains results, masks and audio from the models of the 16 GMM component segregation system Group 2 contains results, masks and audio from the models of the 64 GMM component segregation system There are three folders: Audio: The CLUE sentences that were used for the listener study IBM = Ideal Binary Mask, UP = UnProcessed, EBM = Estimated Binary Mask. The IBM and UP are stored in one of the configuration folders (Front-end), that is: Audio\Group1\Front-end\icra_01_10sec_matched\UP Audio\Group1\Front-end\icra_01_10sec_matched\IBM Audio\Group1\Front-end\icra_01_10sec_matched\EBM Results: The computed metrics for group 1 & 2 as well as Word Recognition Scores (WRSs) from the listener study BinaryMasks: a priori SNR masks, IBMs and EBMs from group 1 and 2. Developed with Matlab R2016a

Optical to near-infrared transmission spectrum of the warm sub-Saturn HAT-P-12b

We present the transmission spectrum of HAT-P-12b through a joint analysis of data obtained from the Hubble Space Telescope Space Telescope Imaging Spectrograph (STIS) and Wide Field Camera 3 (WFC3) and Spitzer, covering the wavelength range 0.3-5.0 $\mu$m. We detect a muted water vapor absorption feature at 1.4 $\mu$m attenuated by clouds, as well as a Rayleigh scattering slope in the optical indicative of small particles. We interpret the transmission spectrum using both the state-of-the-art atmospheric retrieval code SCARLET and the aerosol microphysics model CARMA. These models indicate that the atmosphere of HAT-P-12b is consistent with a broad range of metallicities between several tens to a few hundred times solar, a roughly solar C/O ratio, and moderately efficient vertical mixing. Cloud models that include condensate clouds do not readily generate the sub-micron particles necessary to reproduce the observed Rayleigh scattering slope, while models that incorporate photochemical hazes composed of soot or tholins are able to match the full transmission spectrum. From a complementary analysis of secondary eclipses by Spitzer, we obtain measured depths of $0.042\%\pm0.013\%$ and $0.045\%\pm0.018\%$ at 3.6 and 4.5 $\mu$m, respectively, which are consistent with a blackbody temperature of $890^{+60}_{-70}$ K and indicate efficient day-night heat recirculation. HAT-P-12b joins the growing number of well-characterized warm planets that underscore the importance of clouds and hazes in our understanding of exoplanet atmospheres.Comment: 25 pages, 19 figures, accepted for publication in AJ, updated with proof correction