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Marco Frezzella
Press Officer
Haus G, Max-Planck-Ring 14
98693 Ilmenau
+ 49 3677 69-5003
marco.frezzella@tu-ilmenau.de
The Technische Universität Ilmenau, together with research partners, has developed a microphone inspired by biology that picks up sound similar to the human ear. The microphone could help improve speech recognition for controlling a variety of digital applications. In the future, the new process could even make overall acoustic systems consisting of a microphone and speech recognition more efficient, so that they consume less energy. The results of the research conducted by the Group of Micro- and Nanoelectronic Systems at TU Ilmenau and its research partners have just been published in the renowned international journal Nature Electronics.
Voice recognition technologies such as Alexa or Siri have made rapid progress in recent years. They can now understand voice commands very well, for example, to control cell phones, operate an alarm clock or even a wide variety of smart home applications. However, noisy environments with many different sounds, such as train stations, restaurants or streets, are still very problematic for current technologies with conventional microphones. The human ear, on the other hand, is able to pick out the voices of individuals in noisy environments with a lot of background noise and understand what is being said.
A team of researchers from the TU Ilmenau, the Christian Albrechts University of Kiel, the Karlsruhe Institute of Technology, the University College Cork and the Ilmenau Fraunhofer Institute for Digital Media Technology has now made use of the advantages of the human ear. In the process, the scientists are replicating the function of the inner ear, which supports hearing comprehension in humans, especially in noisy environments. The bio-inspired microphone they developed uses three properties of the human auditory system:
The technological heart of the bio-inspired microphone is silicon bending beams modeled on hair cells, ranging in length from one-third of a millimeter to just over one millimeter. This difference in length causes each bending bar to respond to only a single tone of the sound signal (point 1). An electronic control system makes it possible to control the characteristics of each bending beam, such as amplification, separately (point 2) and thus to adapt them to different environments, for example those of different loudness (point 3).
Thanks to the automatic adaptation to the sound signal, which can be controlled separately for each pitch, the relevant signals are highlighted. As a result, according to the researchers' idea, less computing power is required for speech analysis and thus less electrical energy for the overall system consisting of speech recognition and microphone. In particular, applications with limited energy capacities, such as hearing aids, would thus be able to perform significantly more complex speech and sound analyses. In addition, the production of the bio-inspired microphone based on silicon technology not only enables micrometer-precise manufacturing, but also low-cost mass production.
Together with scientists from partner institutions, the TU Ilmenau now intends to develop prototypes of the bio-inspired microphone. Possible applications include speech assistance systems and hearing aids as well as technologies for monitoring machines in production.
The demonstrator of the new bio-inspired microphone was realized in the "ForLab Ilmenau for Neuromorphic Electronics", which is supported by the Federal Ministry of Education and Research. The ForLab is affiliated with the Center for Micro- and Nanotechnologies (ZMN) at TU Ilmenau.
The research results published in Nature Electronics were generated as part of two major research projects at TU Ilmenau: "SFB 1461 - Neuroelectronics: Biologically Inspired Information Processing," which is funded by the German Research Foundation, and "MemWerk," funded by the Carl Zeiss Foundation, in which TU Ilmenau is researching smart materials for biologically inspired electronics.
Website: https://www.nature.com/articles/s41928-023-00957-5
DOI number: 10.1038/s41928-023-00957-5
Dr. Claudia Lenk
Micro- and Nanoelectronic Systems
+49 3677 69-1589
mnes@tu-ilmenau.de