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A Fine-Tuned Transformer Model for Dysarthric Speech with Spectrograms 3

A Fine-Tuned Transformer Model for Dysarthric Speech with Sp...

引用

3rd ieee World conference on Applied Intelligence and Computing, AIC 2024

作者： Sireesha, C. Asish, K. Manjula, R. Vasavi College of Engineering Information Technology Hydrabad India

ISBN: (纸本)9798350384598

This study examines the enhancement of communication for individuals with dysarthria speech disorder that impairs control of speech muscles through Automated Speech Recognition (ASR) technologies. While transformer and neural attention-based sequence-to-sequence models have achieved state-of-the-art results in typical speech-to-text applications, their adaptation for dysarthric speech recognition presents significant challenges. These include the unique articulatory variation and a lack of substantial training data characteristic of dysarthric speech. To bridge this gap, our research introduces a novel Dysarthric Speech Transformer, which incorporates a deep transformer architecture specifically designed to accommodate the complexities of dysarthric speech patterns. To overcome the hurdle of data scarcity, we employ a two-phase transfer learning strategy that leverage high-quality clear speech data, alongside innovative neural freezing configurations, to enhance model training and effectiveness. Our methodology is validated through rigorous training on the UASpeech(M12) and TORGO datasets, which are tailored for speaker-specific dysarthric ASR. The results indicate a substantial improvement in recognition accuracy, underscoring the efficacy of our specialized transformer model. Further, our study explores the synergistic potential of combining signal processing techniques with deep learning, suggesting that this approach could lead to breakthroughs in ASR system performance for individuals with severe dysarthria. This integration promises not only to refine the accuracy of dysarthric speech recognition, but also to extend the accessibility and usability of ASR technologies for those most in need. © 2024 ieee.

关键词： Speech recognition

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Bringing DNS Service to 5G Edge for Reduced Latencies in mMTC applications

Bringing DNS Service to 5G Edge for Reduced Latencies in mMT...

引用

2023 ieee International conference on Industrial technology, ICIT 2023

作者： Harrilal-Parchment, Ricardo Pineda, Diana Akkaya, Kemal Aydeger, Abdullah Perez-Pons, Alexander Florida International University Dept. of Electrical and Computer Engineering MiamiFL33174 United States Florida Institute of Technology Dept. of Electrical Engineering and Computer Science MelbourneFL32901 United States

ISBN: (纸本)9798350336504

5G brings many improvements to cellular networks in terms of performance, such as lower latency, improved network efficiency, and higher throughput, making it an attractive candidate for many applications. One such domain is industrial applications that may require real-time guarantees to transmit time-critical control messages. Assuming the immense number of devices exchanging data in support of Massive Machine-Type Communications (mMTC) applications, the capability of the cellular infrastructure to handle a large number of real-time transmissions may be inadequate. For such cases, there exists an acute desire to reduce any overheads as much as possible in order to guarantee certain deadlines. One such target is the Domain Name System (DNS) service, for which queries precede almost every new network request. This incorporates additional communication delays based on the response time, which in turn is affected by the proximity of the DNS server. While bringing DNS service to the edge has been touted as a logical solution, its integration with 5G systems is still challenging. This is due to the inability to access the DNS query information at the application layer since the User Equipment (UE) traffic is tunneled through to the core network. To this end, we propose a novel approach that can identify DNS queries at the base stations through Software-Defined Networking (SDN) capabilities. Specifically, we develop an SDN controller which is used to identify and extract DNS queries at the base station and handle the query at the edge without going through the 5G core network. This approach was implemented in a virtualized 5G network, in which we demonstrate that it is feasible and can potentially bring significant performance gains, especially in the case of mMTC applications. © 2023 ieee.

关键词： 5G mobile communication systems

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AUTOFRAME - A Software-Driven Integration Framework for Automotive Systems 27

AUTOFRAME - A Software-Driven Integration Framework for Auto...

引用

27th ieee International conference on Intelligent Transportation Systems, ITSC 2024

作者： Kirchner, Sven Purschke, Nils Wu, Chengdong Khan, Muhammed Aqib Dixit, Divye Knoll, Alois C. Technical University of Munich Bayern Garching Germany Indian Institute of Technology Mandi Himachal Pradesh Mandi India

ISBN: (纸本)9798331505929

The evolution of automotive technologies towards more integrated and sophisticated systems requires a shift from traditional distributed architectures to centralized vehicle architectures. This work presents a novel framework that addresses the increasing complexity of Software Defined Vehicles (SDV) through a centralized approach that optimizes software and hardware integration. Our approach introduces a scalable, modular, and secure automotive deployment framework that leverages a hardware abstraction layer and dynamic software deployment capabilities to meet the growing demands of the industry. The framework supports centralized computing of vehicle functions, making software development more dynamic and easier to update and upgrade. We demonstrate the capabilities of our framework by implementing it in a simulated environment where it effectively handles several automotive operations such as lane detection, motion planning, and vehicle control. Our results highlight the framework's potential to facilitate the development and maintenance of future vehicles, emphasizing its adaptability to different hardware configurations and its readiness for real-world applications. This work lays the foundation for further exploration of robust, scalable, and secure SDV systems, setting a new standard for future automotive architectures. © 2024 ieee.

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Unleashing the Potential of Decentralized Federated Learning in Healthcare: A Comprehensive Survey on Insights and Challenges 9

Unleashing the Potential of Decentralized Federated Learning...

引用

9th ieee International conference on Data Science in Cyberspace, DSC 2024

作者： Cheng, Haibo Liu, Wenjian Qu, Youyang Fu, Kexue Wang, Qinyuan City University of Macau Faculty of Data Science China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Jinan China

ISBN: (纸本)9798350391367

Federated learning (FL) is a distributed learning method that reduces data transmission and privacy risks. However, the existence of a central server may become a target of attackers, resulting in an increased risk of user privacy leakage. The emergence of Decentralized Federated Learning (DFL) is posited to enhance data privacy and system reliability by reducing reliance on central servers and enhancing local data control, especially in the medical field, where personal health data is protected. This research investigates the application of (DFL) in the medical domain, focusing on its limitations. This study employs a systematic literature review, adhering to PRISMA guidelines, to comprehensively understand DFL's current landscape and challenges in healthcare. The key findings highlight four principal obstacles faced by DFL: security and privacy, communication efficiency, data and model heterogeneity, and incentive mechanisms. It also explores the potential for DFL to facilitate personalized healthcare treatments by large datasets distributed across various medical institutions. This research fills a significant void by systematically reviewing DFL technologies in healthcare. It provides insights into applications, challenges, and future directions for participants seeking secure and efficient healthcare data handling. © 2024 ieee.

关键词： Federated learning

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Design and control of robotic joint module driven by twisted and coiled actuators 18

Design and control of robotic joint module driven by twisted...

引用

18th ieee conference on Industrial Electronics and applications, ICIEA 2023

作者： Zhang, Haohao Zhang, Hao Zheng, Tianjiang Shen, Wenjun Bai, Haotian Fang, Zaojun Chinese Academy of Sciences Ningbo Institute of Materials Technology and Engineering Ningbo China University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798350312201

Lightweight robots have been studied widely due to their safety and friendly interaction properties. There are lots of cable driven robots which have been proposed which show good application potential on service robots. Cable driven robot can only transmit force by the cables and the force transmission has only one direction, which increases its mechanical design complexity. The twisted-and-coiled artificial (TCA) muscles possess unique contraction properties that have advantages for researchers seeking to simplify the development of robots. However, twisted-and-coiled artificial muscles are greatly affected by its external disturbance and produce process, which makes it difficult to be controlled. In this paper, a robotic joint with two-degree-of-freedom module weighing 85.8g is designed driven by twisted-and-coiled artificial muscles. A Linear Active Disturbance Rejection control (LADRC) method has been proposed for the driven artificial muscles position control. The experimental device has been setup and the control effect has been studied. The experiment results show a good control effect. The position error is less than 2% and the step response is within 13 seconds. This study validated that the TCA has strong possibility used for lightweight robot joint under the designed LADRC control method. © 2023 ieee.

关键词： Actuators

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Research on an Edge Computing Architecture for Industrial applications 2

Research on an Edge Computing Architecture for Industrial Ap...

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2nd ieee International conference on Power, Electronics and Computer applications, ICPECA 2022

作者： Gong, Yanjie Zheng, Qiuping Wang, Zhou Network and Sensor Control Center Instrumentation Technology and Economy Institute Beijing China

ISBN: (纸本)9781665442763

In response to the industry's new needs for intelligent production, networked collaboration, personalized customization, and service-oriented transformation, this article studies on the special functions and performance indicators that edge computing equipment should have when applied in industry, proposes how to effectively use the open network, computing, and storage capabilities of edge computing at different network levels to provide an edge computing architecture that provides nearby edge intelligent services to be applied in industry. Taking the industrial process control optimization scenario as an example, the different uses of three edge computing devices are described, and the problems that can be solved by the application of industrial edge computing are explained. The industrial edge computing architecture described in this article can realize the cross-level transmission of data and provide an open and unified modeling capability for edge computing data, which is suitable for the design of new edge intelligent application scenarios in different industrial fields. © 2022 ieee.

关键词： Edge computing

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control strategies for Cascaded Modular Solid-State Transformer Operating in PV Power Generation Mode and SVG Mode 6

Control strategies for Cascaded Modular Solid-State Transfor...

引用

6th ieee International Electrical and Energy conference, CIEEC 2023

作者： Du, Lei Zhao, Tao Sun, Zixiang Feng, Zhijian Lin, Shan School of Electrical Engineering Qingdao University Qingdao China Guangzhou Metro Design and Research Institute Co. Ltd Guangzhou China

ISBN: (纸本)9798350346671

The three-phase photovoltaic (PV) solid-state transformer (SST) based on cascaded H-bridge (CHB) topology has the characteristics of expandable modular structure and no need for bulky line-frequency transformer to connect directly with medium voltage grid, so it has great advantages in high-voltage and high-power applications. To further improve system utilization and reduce the construction cost of PV power plant, the converter is able to operate in PV power generation mode during the day, and in static var generation (SVG) mode at night to compensate the reactive power consumption of the whole PV plant. For this purpose, this paper proposes the control strategies suitable for PV power generation mode and SVG mode, respectively. The strategy of PV power generation mode can not only achieve the controls of grid currents, dc-bus voltages and power balance among modules, but also simplify the communication design. The control method of SVG mode takes inter-phase and inter-module power balance into account and has a simple calculation process. Simulation and experimental results validate the effectiveness and feasibility of the proposed methods. © 2023 ieee.

关键词： Reactive power

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Regressor-Based Model Adaptation for Shaping Deformable Linear Objects with Force control

Regressor-Based Model Adaptation for Shaping Deformable Line...

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2023 ieee International conference on Robotics and Biomimetics, ROBIO 2023

作者： Zhong, Hanzhong Xu, Ziqi Ma, Gan Yu, Mingrui Li, Xiang Tsinghua University Department of Automation China Shenzhen Technology University Sino-German College of Intelligent Manufacturing China

ISBN: (纸本)9798350325706

Many industrial and domestic applications involve the manipulation of deformable objects, such as wire, soft tissue, and food material. Compared to rigid objects, they are more challenging to manipulate. One reason being that it is difficult to obtain the exact deformation model, which relates to the external forces and the state of the object. This paper considers the problem of modeling and the force control of deformable linear objects (DLOs), where the force control input exerted on the DLO is related to the change of features along it. An online adaptation law is proposed to update the unknown model parameters, by exploring the property of linear parameterization;Then, a model-based force control scheme is applied to actively shape the DLO, in the absence of vision feedback. The proposed method has the advantages of data efficiency due to the prior physics model and of low computational complexity (and hence better real-time performance). The convergence of estimated parameters to the actual value is rigorously proved using Lyapunov methods. A series of comparative studies are presented to validate the efficient and effective performance of the proposed modeling method. Experimental results on model learning and shape control are also given to illustrate the proposed method. © 2023 ieee.

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Electromagnetic Torque Estimations in Dual Inverter fed WRIM Drive

Electromagnetic Torque Estimations in Dual Inverter fed WRIM...

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2023 ieee International conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2023

作者： Verma, Apurva Vaishnav, Navneet Jain, Amit Kumar Indian Institute of Technology Department of Electrical Engineering Delhi India

ISBN: (纸本)9798350310573

This study evaluates the performance of various electromagnetic torque estimation techniques for double inverter-fed wound rotor induction machine (DI-WRIM) drives. The four estimation techniques being discussed combine stator and rotor fluxes, which are estimated variables, and stator and rotor currents, which are directly measured variables. Two crucial drive performance requirements in high-power applications, including zero-speed full-torque functioning and accuracy in calculating the low-frequency harmonics in torque, are investigated. In addition, two different control methods - current control and direct torque control - are employed for analyzing torque estimation. In the end, the paper suggests selecting the most appropriate torque estimation technique among four options for successful closed-loop operation of DI-WRIM drives. To support the analysis, comprehensive simulations and experimental findings are presented. © 2023 ieee.

关键词： Electromagnetic Torque Estimation Industrial Drives Wound Rotor Induction Machine

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A Three-Dimensional Force Estimation Method for the Cable-Driven Soft Robot Based on Monocular Images

A Three-Dimensional Force Estimation Method for the Cable-Dr...

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2024 ieee International conference on Robotics and Biomimetics, ROBIO 2024

作者： Zhu, Xiaohan Bu, Ran Li, Zhen Xu, Fan Wang, Hesheng School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Department of Automation China Artificial Intelligence Research Institute School of Information and Control Engineering China University of Mining and Technology China

ISBN: (纸本)9781665481090

Soft manipulators are known for their superiority in coping with high-safety-demanding interaction tasks, e.g., robot-assisted surgeries, elderly caring, etc. Yet the challenges residing in real-time contact feedback have hindered further applications in precise manipulation. This paper proposes an end-to-end network to estimate the 3D contact force of the soft robot, with the aim of enhancing its capabilities in interactive tasks. The presented method features directly utilizing monocular images fused with multidimensional actuation information as the network inputs. This approach simplifies the preprocessing of raw data compared to related studies that utilize 3D shape information for network inputs, consequently reducing configuration reconstruction errors. The unified feature representation module is devised to elevate low-dimensional features from the system's actuation signals to the same level as image features, facilitating smoother integration of multimodal information. The proposed method has been experimentally validated in the soft robot testbed, achieving satisfying accuracy in 3D force estimation (with a mean relative error of 0.84% compared to the best-reported result of 2.2% in the related works). © 2024 ieee.

关键词： Robotic surgery

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