Colección: TEMAS

Temas Cantidad
Acoustic impedance; Algorithms; Mathematical models; Optimization; Porosity; Porous materials; Viscous flow; Champoux-Allard model; Inverse characterization methods; Particular absorbing materials; Thermal characteristics1
Acoustic noise measurement1
Acoustic wave propagation; Error analysis; Functions; Image processing; Pressure measurement; Auto-correlation functions; Broad-band noise; Power spectral density (PSD)1
Acoustic waves2
Acoustics; 3D motion; Audio-visual; Facial motions; Parkinson's disease; Speech recognition softwares1
Architectural acoustics1
Audition1
Audition; Acoustical characteristics; Concert hall; Hearing-impaired listeners; Historical development; Listening-in; Musical performance; Research studies; Room acoustics; Second language1
Electric power generation; Noise abatement; Spurious signal noise; Turbomachine blades; Acousticians; Infrasound; Noise sources; Optimum assessment methods1
Error analysis; Gaussian noise (electronic); Nonlinear systems; Numerical analysis; Oceanography; Parameter estimation; Surface properties; Environmental parameters; Gaussian errors; Numerical propagation1
Fuzzy inference; Fuzzy systems; Hearing aids; Mathematical models; Neural networks; Nonlinear systems; Acoustic features; Adaptive network based fuzzy inference system; Artificial Neural Network; Automatic adjustment; Computational intelligence; Control settings; Environment-sensitive; Hearing aid; Hearing loss; Highly nonlinear; Multi layer perceptron; Neurofuzzy system; Specific knowledge; User intervention1
Speech recognition1
Wind turbines1
acoustic variables measurement; architectural acoustics; measurement systems; microcomputer applications; PC based measurement system; spatial information; room-acoustic indicators; enclosure; quality indicators; PC based multiple channel measurement system; software1
biomedical imaging; ultrasonic imaging; diagnostic ultrasound imaging; Thomas Zabo1
computer aided instruction; hearing; speech intelligibility; teaching; Canadian Speech Research Environment; speech perception; undergraduates; computer-based learning sessions; speech acoustics; students1
hearing; musical acoustics; frequency categorisation; frequency discrimination; song bird; song notes; conspecifics; song frequency; heterospecifics; open-ended categories; zebra finches; humans1