42 research outputs found

    UNIT-DSR: Dysarthric Speech Reconstruction System Using Speech Unit Normalization

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    Dysarthric speech reconstruction (DSR) systems aim to automatically convert dysarthric speech into normal-sounding speech. The technology eases communication with speakers affected by the neuromotor disorder and enhances their social inclusion. NED-based (Neural Encoder-Decoder) systems have significantly improved the intelligibility of the reconstructed speech as compared with GAN-based (Generative Adversarial Network) approaches, but the approach is still limited by training inefficiency caused by the cascaded pipeline and auxiliary tasks of the content encoder, which may in turn affect the quality of reconstruction. Inspired by self-supervised speech representation learning and discrete speech units, we propose a Unit-DSR system, which harnesses the powerful domain-adaptation capacity of HuBERT for training efficiency improvement and utilizes speech units to constrain the dysarthric content restoration in a discrete linguistic space. Compared with NED approaches, the Unit-DSR system only consists of a speech unit normalizer and a Unit HiFi-GAN vocoder, which is considerably simpler without cascaded sub-modules or auxiliary tasks. Results on the UASpeech corpus indicate that Unit-DSR outperforms competitive baselines in terms of content restoration, reaching a 28.2% relative average word error rate reduction when compared to original dysarthric speech, and shows robustness against speed perturbation and noise.Comment: Accepted to ICASSP 202

    Dynamic Characterization of Periodic Lattice of Elastically-connected Bi-stable Elements under Seismic Excitation

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    Metamaterials are engineered materials, typically in periodic arrangements, which exhibit unconventional or extreme properties not found in nature. Understanding the dynamics of metamaterials enables the design of structures with specific functionalities. The dynamics of metamaterials in linear regime has been relatively well studied in recent years, however the unique phenomena arising from nonlinearities in metamaterials are yet to be explored. In this paper, we focus on an array of bi-stable elements connected by elastic springs under various forms of external excitations acting on the entire system. The general equations of motion are derived to handle any degree-of-freedom (DoF) systems of interest. The MATLAB-based code is developed using finite difference method to solve numerically the system of equations and is validated through the correlation studies with the analytical solutions in previously known linear systems. Numerical investigations are performed on 2-DoF and infinitely-long systems under various excitation levels with focuses on nonlinear responses. The predicted behaviors are experimentally verified from the dynamic testing, using 3D-printed lattice samples

    PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting

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    When predicting PM2.5 concentrations, it is necessary to consider complex information sources since the concentrations are influenced by various factors within a long period. In this paper, we identify a set of critical domain knowledge for PM2.5 forecasting and develop a novel graph based model, PM2.5-GNN, being capable of capturing long-term dependencies. On a real-world dataset, we validate the effectiveness of the proposed model and examine its abilities of capturing both fine-grained and long-term influences in PM2.5 process. The proposed PM2.5-GNN has also been deployed online to provide free forecasting service.Comment: Pre-print version of a ACM SIGSPATIAL 2020 poster [paper](https://dl.acm.org/doi/10.1145/3397536.3422208). The code is available at [Github](https://github.com/shawnwang-tech/PM2.5-GNN), and the talk is available at [YouTube](https://www.youtube.com/watch?v=VX93vMthkGM

    Zwitterionic coating assisted by dopamine with metal-phenolic networks loaded on titanium with improved biocompatibility and antibacterial property for artificial heart

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    Introduction: Titanium (Ti) and Ti-based alloy materials are commonly used to develop artificial hearts. To prevent bacterial infections and thrombus in patients with implanted artificial hearts, long-term prophylactic antibiotics and anti-thrombotic drugs are required, and this may lead to health complications. Therefore, the development of optimized antibacterial and antifouling surfaces for Ti-based substrate is especially critical when designing artificial heart implants.Methods: In this study, polydopamine and poly-(sulfobetaine methacrylate) polymers were co-deposited to form a coating on the surface of Ti substrate, a process initiated by Cu2+ metal ions. The mechanism for the fabrication of the coating was investigated by coating thickness measurements as well as Ultraviolet–visible and X-ray Photoelectron (XPS) spectroscopy. Characterization of the coating was observed by optical imaging, scanning electron microscope (SEM), XPS, atomic force microscope (AFM), water contact angle and film thickness. In addition, antibacterial property of the coating was tested using Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) as model strains, while the material biocompatibility was assessed by the antiplatelet adhesion test using platelet-rich plasma and in vitro cytotoxicity tests using human umbilical vein endothelial cells and red blood cells.Results and discussion: Optical imaging, SEM, XPS, AFM, water contact angle, and film thickness tests demonstrated that the coating was successfully deposited on the Ti substrate surface. The biocompatibility and antibacterial assays showed that the developed surface holds great potential for improving the antibacterial and antiplatelet adhesion properties of Ti-based heart implants

    Purification of Anthocyanin from Blueberry Candied Syrup by Microfiltration Combined with Macroporous Resin

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    In this work, the blueberry candied syrup was separated and purified by microfiltration combined with macroporous resin technology to recover anthocyanins. Firstly, the macroporous resin was screened through static test. On the basis of single factor and Box-Behnken response surface tests, the flow rate, ethanol concentration and elution flow rate were optimized with anthocyanin recovery rate and total sugar removal rate as indexes in the dynamic test. The result showed that the anthocyanin content and the total sugar content were 6.84 mg/100 mL and 31.76 mg/mL respectively. Among AB-8, D101 and HPD 600 resins, AB-8 was optimized for the purification of anthocyanins from blueberry candied syrup, and the best technological conditions for the purification of anthocyanins by macroporous resin were as follows: The flow rate was 2.0 mL/min, the ethanol concentration was 83%, and the elution flow rate was 2.0 mL/min. Under these conditions, the anthocyanin recovery rate was 86.68%, and the total sugar removal rate was 84.13%. After the anthocyanin desorbing solution was concentrated by rotation evaporation, the concentration of anthocyanin was 5.56 mg/100 mL, and the total sugar concentration was 5.24 mg/mL. The color value of anthocyanins was 31.43, which was about 5 times of the color value of anthocyanins in raw materials. Microfiltration combined with macroporous resin purification of blueberry candied syrup anthocyanin was effective, and this study provides some technical reference for the isolation and purification of blueberry anthocyanin

    Effects of sample dimensions and shapes on measuring soil–water characteristic curves using pressure plate

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    It is well known that soil–water characteristic curve (SWCC) plays an important role in unsaturated soil mechanics, but the measurement of SWCC is inconvenient. In laboratory it requires days of testing time. For fine-grained clays, it may last for a couple of months using pressure plate tests. In this study, the effects of sample dimensions and shapes on the balance time of measuring SWCCs using pressure plate tests and the shape of SWCCs are investigated. It can be found that the sample dimensions and shapes have apparent influence on the balance time. The testing durations for circular samples with smaller diameters and annular samples with larger contact area are significantly shortened. However, there is little effect of sample dimensions and shapes on the shape of SWCCs. Its mechanism is explored and discussed in details through analysing the principle of pressure plate tests and microstructure of the sample. Based on the above findings, it is found that the circular samples with smaller dimensions can accelerate the testing duration of SWCC using the pressure plate

    Interaction of Preformed Particle Gel and Sodium Dodecyl Sulfate

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    The adsorption of anionic surfactant of sodium dodecyl sulfate (SDS) onto preformed particle gel (PPG) and the effects of SDS on the swelling ratio of PPG were combined. The effects of anionic surfactant sodium dodecyl sulfate on the rheology of preformed particle gel were also studied by using steady shear and oscillatory shear rheological experiments. The interaction mechanism of SDS and the rheology of preformed particle gel was discussed. The results show that the adsorption of SDS increases and the swelling ratio of PPG first decreases and then keeps stable with the increase of SDS. The preformed particle gel exhibits shear-thinning property and its viscosity is significantly influenced by SDS at lower shear rate. With the increase of SDS concentration, the yield stress of the preformed particle gel decreases and the storage modulus first decreases and then increases

    Mechanism of Sulfide Effect on Viscosity of HPAM Polymer Solution

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    The effect of sulfide on HPAM solution viscosity was studied using BROOKFIELD DV-II viscometer, and the interaction mechanism was discussed. The HPAM solution viscosity was investigated through fully reducing sulfide by the addition of hydrogen peroxide oxidation, and the mechanism of increasing polymer viscosity was investigated. The experimental results also show that there is a critical concentration of 15 mg/L. Below it, the loss rate of HPAM solution viscosity increases more rapidly, but becomes slowly above the critical concentration. A theoretical guidance for oilfields to prepare polymer solution using sewage-water by eliminating sulfide, and it is also importance to prepare polymer solution using sewage-water and save fresh water

    Factors Influencing HPAM Solution Viscosity Prepared by Produced Water Using Orthogonal Method

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    The effect of temperature and metal ion components on the viscosity of HPAM solution was studied by means of orthogonal method. Five factors and 4 levels were considered for the orthogonal design. The five factors included temperature, contents of Na+, Mg2+, Ca2+ and S2-, and the four levels mainly considered the level of produced water components in main oilfields in China. The experiment results show that temperature is the most important factor to control HPAM solution viscosity prepared by produced water. The effect of ions was in order of Na+\u3eS2-\u3eMg2+\u3eCa2+. The mechanism of each factor influencing viscosity was also discussed. Based on the actual condition of Nanyang oilfield, the desulfurization was used to improve the solution viscosity, and satisfactory result was obtained

    PLXNC1 interference alleviates the inflammatory injury, apoptosis and extracellular matrix degradation of IL-1β-exposed chondrocytes via suppressing GRP78 expression

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    Abstract Background Osteoarthritis (OA) is a frequently encountered debilitating joint disorder. Whether plexin C1 (PLXNC1) is implicated in OA is far from being investigated despite its well-documented pro-inflammatory property in human diseases. The goal of this study is to expound the specific role of PLXNC1 in OA and elaborate the probable action mechanism. Methods Firstly, PLXNC1 expression in the cartilage tissues of patients with OA was examined with GEO database. In interleukin-1beta (IL-1β)-induced OA cell model, RT-qPCR and western blotting tested the expression of PLXNC1, glucose-regulating protein 78 (GRP78) and extracellular matrix (ECM) degradation-related factors. Cell viability and inflammation were respectively judged by CCK-8 assay and RT-qPCR. TUNEL and western blotting estimated cell apoptosis. The potential binding between PLXNC1 and GRP78 was corroborated by Co-IP assay. Western blotting also tested the expression of endoplasmic reticulum stress (ERS)-associated proteins. Results As it turned out, PLXNC1 expression was elevated in the cartilage tissues of patients with OA and IL-1β-treated chondrocytes. When PLXNC1 was depleted, the viability injury, inflammation, apoptosis and ECM degradation of chondrocytes exposed to IL-1β were obstructed. Besides, GRP78 bond to PLXNC1 in IL-1β-treated chondrocytes. The ascending GRP78 expression in the chondrocytes exposed to IL-1β was depleted after PLXNC1 was silenced. Meanwhile, the impacts of PLXNC1 deficiency on the viability, inflammatory response, apoptosis, ECM degradation as well as ERS in IL-1β-exposed chondrocytes were abolished by GRP78 up-regulation. Conclusion In summary, PLXNC1 silencing might interact with and down-regulate GRP78 to mitigate the apoptosis, inflammation, and ECM degradation of IL-1β-insulted chondrocytes in OA
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