After the cancellation of DAGA 2020, DAGA 2021 will take place in Vienna from August 15 - 18, 2021. Fraunhofer IDMT will present latest research results in the fields of "Acoustic Metamaterials" and "MEMS Loudspeakers" in two structured sessions.
Structured Session: Acoustic Metamaterials
Organization and Chair: Prof. Dr.-Ing. Joachim Bös, M.S./SUNY – Director Fraunhofer IDMT, Head of DEGA technical committee "Physical Acoustics", Elke Deckers
Metamaterials – a field of research that has its origins primarily in optics and electrical engineering – have also been attracting growing interest in acoustics for some years now. Basically, these are artificially produced materials whose properties differ from those of natural materials, such as negative stiffness or a negative refractive index. As such, they enable novel approaches to solving existing technological challenges. The structured session "Acoustic Metamaterials" will include contributions on recent results from industry and research. Not only will various application areas be addressed, but the actual design process of acoustic metamaterials will also be examined in more detail.
Structured Session: MEMS loudspeaker – where are we today?
Organization and Chair: Dr.-Ing. Daniel Beer – Head of Electroacoustics Fraunhofer IDMT, Head of DEGA technical committee "Electro-Acoustics"
After the MEMS loudspeaker was mainly just a research topic in the last years, the transition into the product area is now taking place. The contributions include recent results from industry and research.
Furthermore, the institute presents the latest results from the research field of acoustic detection of partial discharge in a paper.
The Sounds of Partial Discharge
Authors: Gourishetti, S.; Werner, S.; Kátai, A.; Liebetrau, J.
Partial discharge (PD) is a critical phenomenon that often occurs in medium and high voltage electrical equipment due to insulation faults and generates various types of acoustic emissions. The characteristics of the PD signal depend on the type of equipment, physical condition, operating voltage, and insulating substances used (e.g., gases, oils, nonmetallic solids). Corona, arcing, and surface discharges are the most common PD faults. Usually, these faults are quantified by electrical and acoustic detection methods. Acoustic methods gained popularity over electrical methods due to their insensitivity to electrical noise and localization capabilities. PD signals have different levels of acoustic emission, represented by various time-frequency characteristics. Currently, the analysis of PD data, detection and classification of faults is done manually or semi-automatically by experts. This paper provides the current state of the literature on acoustic condition monitoring of partial electrical discharges in various high voltage equipment (e.g., transformers, cables, switchgears). The typical approaches used in the acoustic measurement and feature representation of signals for PD defect recognition are presented in detail. Expanding the possibilities for automated detection of PDs using signal processing and neural networks is also discussed for future research.
Tuesday, August 17, 2021, 10.20 am at "Schubert 6"
In addition, the division Hearing, Speech, and Audio Technology in Oldenburg will present their research areas of auditory modeling, speech enhancement, and sound personalization in several contributions:
Improving face-to-face communication in loud environments by means of blind source separation
Authors: Martin Berdau, Andreas Volgenandt, Rainer Huber, Christian Rollwage, Jörg Bitzer and Jan Rennies
Review of the different versions of the Binaural Speech Intelligibility Model (BSIM)
Authors: Thomas Brand, Christopher F. Hauth, Saskia Röttges and Jan Rennies
Dynamic sound individualization in vehicles, taking into account sounds in different driving situations (German)
Autorinnen und Autoren: Sina Buchholz, Jens-E. Appell, Jörn Hübelt and Jan Rennies
Improvement of broadcast speech intelligibility based on instantaneous listening effort
Authors: Rainer Huber, Hannah Baumgartner, Tobias Bruns, Christian Rollwage, Ragini Sinha and Jan Rennies
Tatort speech intelligibility– How bad is it? (German)
Authors: Rainer Huber, Hannah Baumgartner, Julia Thomas, Jens-E. Appell and Jan Rennies
Potentials and risks of robust voice control and adaptive audio feedback as an HMI system for industrial production
Authors: Marvin Norda, Andreas Volgenandt, Matthias Stennes, Jan Rennies and Sven Carsten Lange
Spatio-temporal integration of speech reflections in listeners with sensorineural hearing loss
Authors: Jan Rennies, Anna Warzybok, Birger Kollmeier and Thomas Brand
Release from energetic and informational masking as revealed by listening effort and speech intelligibility
Authors: Jan Rennies, Virginia Best, Elin Roverud, Melanie Krüger and Gerald Kidd Jr.
Comparing a BMVDR with an IBM regarding SRT and subjective listening effort
Authors: Ewald Strasser, Thomas Brand and Jan Rennies