@inproceedings{7391341,
  abstract = {Current research on audio signal processing algorithms for digital hearing aid devices is extremely pushing the performance demands. Nowadays, there is a trend of using several microphones in such systems (e.g., binaural systems) to improve the speech perception of a hearing impaired person. However, there is a lack of mobile platforms, capable of processing such algorithms in real-time. This paper presents a new mobile SoC-based evaluation and development platform (including a multi-channel audio extension board), specially thought not only for evaluating new hearing aid signal processing algorithms but also to develop new hardware co-processor architectures, that could be integrated in current hearing aid devices to improve their performance with a minimal extra energy consumption.},
  added-at = {2016-04-20T13:13:44.000+0200},
  author = {Seifert, C. and Payá-Vayá, G and Blume, H. and Herzke, T. and Hohmann, V.},
  biburl = {https://www.bibsonomy.org/bibtex/28a2a9c2956b7dfb2fa4c83c9d9429427/imsl3s},
  booktitle = {Consumer Electronics - Berlin (ICCE-Berlin), 2015 IEEE 5th International Conference on},
  description = {IEEE Xplore Abstract - A mobile SoC-based platform for evaluating hearing aid algorithms and architectures},
  doi = {10.1109/ICCE-Berlin.2015.7391341},
  interhash = {3b9be235a8eb29aa8c24aa3df5d405d6},
  intrahash = {8a2a9c2956b7dfb2fa4c83c9d9429427},
  keywords = {2015 SoC aid hearing myown signalprocessing},
  month = {Sept},
  pages = {93-97},
  timestamp = {2016-04-20T13:13:44.000+0200},
  title = {A mobile SoC-based platform for evaluating hearing aid algorithms and architectures},
  url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7391341},
  year = 2015
}