Results 71 to 80 of about 5,225,289 (326)
Background Masons have the highest rate of overexertion injuries among all construction trades and rank second for occupational back injuries in the United States. Identified ergonomic solutions are the primary method of reducing exposure to risk factors
Laurel D. Kincl +3 more
doaj +1 more source
A multimaterial robotic gripper fabricated via multimaterial 3D printing integrates conductive thermopolymer joints with flexible elastomeric components. Joule heating enables precise joint‐level stiffness modulation, enhanced by embedded temperature sensors, passive shape restoration, and active cooling, enabling versatile manipulation capabilities ...
Daniel Jee Seng Goh +4 more
wiley +1 more source
Background: The aim of the study was to evaluate the rationale for training in voice emission and voice prophylaxis among teachers and to assess the effects of voice disorders rehabilitation in the selected group of teachers participating in the program “
Magdalena Jałowska +2 more
doaj +1 more source
Voice Pathology Detection and Classification Using Convolutional Neural Network Model
Voice pathology disorders can be effectively detected using computer-aided voice pathology classification tools. These tools can diagnose voice pathologies at an early stage and offering appropriate treatment.
Mazin Abed Mohammed +8 more
doaj +1 more source
Remote voice training: A case study on space shuttle applications, appendix C [PDF]
The Tile Automation System includes applications of automation and robotics technology to all aspects of the Shuttle tile processing and inspection system. An integrated set of rapid prototyping testbeds was developed which include speech recognition and
Hamid, Tamin, Mollakarimi, Cindy
core +1 more source
Synthesis using speaker adaptation from speech recognition DB [PDF]
This paper deals with the creation of multiple voices from a Hidden Markov Model based speech synthesis system (HTS). More than 150 Catalan synthetic voices were built using Hidden Markov Models (HMM) and speaker adaptation techniques.
Bonafonte Cávez, Antonio +2 more
core
VoxCeleb2: Deep Speaker Recognition
The objective of this paper is speaker recognition under noisy and unconstrained conditions. We make two key contributions. First, we introduce a very large-scale audio-visual speaker recognition dataset collected from open-source media.
Chung, Joon Son +2 more
core +1 more source
Liquid Metal Sensors for Soft Robots
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang +7 more
wiley +1 more source
A Study of Voice Training for Interpreters [PDF]
随着科学技术的发展,不同文化之间的交流日益频繁,口译在政治、经济、文化交流中扮演着越来越重要的角色。在口译的发展过程中,尽管口译训练、口译教学、口译实践等方面的研究有了长足发展,口译作为一个嗓音职业的定位却未受到重视,至今还未对口译员的嗓音发声方面有过相关深入探讨。科学的发声方法、嗓音训练与保健对于口译员的职业表现和职业发展都有着重要的作用。良好的嗓音状态才能保证口译水平的正常发挥,切实保证口译的质量。从这一点出发,本研究试图验证嗓音训练对口译员的实用性。研究选取了14名口译专业的学生作为研究对象 ...
陈晓欣
core
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source

