@InProceedings{8081158,
  author = {M. Buerger and S. Meier and C. Hofmann and W. Kellermann and E. Fischer and H. Puder},
  booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},
  title = {Retrieval of individualized head-related transfer functions for hearing aid applications},
  year = {2017},
  pages = {6-10},
  abstract = {The capability of modern hearing aids to provide hearing-impaired humans with enhanced signals, which ultimately leads to an increased speech intelligibility, may benefit from fitting the device for each subject individually. This ideally also involves the exploitation of Head-Related Impulse Responses (HRIRs). However, HRIRs vary from person to person and thus require tedious measurements for each individual. In this work, we investigate two approaches which aim at speeding up the HRIR acquisition procedure. These are continuous measurements and interpolation, where Dynamic Time Warping (DTW) as well as linear interpolation of the magnitude and phase responses are considered. In contrast to related publications, the continuous HRIR measurements are not performed in anechoic environments here. The quality of the obtained HRIRs is assessed by means of the system mismatch and the proposed error of relative transfer functions. Both measures reveal that continuous HRIR measurements are on average much more capable than the investigated interpolation approaches, and they furthermore provide a more uniform performance for different source directions.},
  keywords = {acoustic signal detection;hearing aids;interpolation;speech intelligibility;transfer functions;transient response;linear interpolation;phase responses;continuous HRIR measurements;relative transfer functions;individualized head-related transfer functions;hearing aid applications;modern hearing aids;HRIR acquisition procedure;continuous measurements;dynamic time warping;interpolation approaches;speech intelligibility;head-related impulse responses;Interpolation;Microphones;Rotation measurement;Hearing aids;Transfer functions;Convolution},
  doi = {10.23919/EUSIPCO.2017.8081158},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570346659.pdf},
}

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This ideally also involves the exploitation of Head-Related Impulse Responses (HRIRs). However, HRIRs vary from person to person and thus require tedious measurements for each individual. In this work, we investigate two approaches which aim at speeding up the HRIR acquisition procedure. These are continuous measurements and interpolation, where Dynamic Time Warping (DTW) as well as linear interpolation of the magnitude and phase responses are considered. In contrast to related publications, the continuous HRIR measurements are not performed in anechoic environments here. The quality of the obtained HRIRs is assessed by means of the system mismatch and the proposed error of relative transfer functions. 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Buerger and S. Meier and C. Hofmann and W. Kellermann and E. Fischer and H. Puder},\n booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},\n title = {Retrieval of individualized head-related transfer functions for hearing aid applications},\n year = {2017},\n pages = {6-10},\n abstract = {The capability of modern hearing aids to provide hearing-impaired humans with enhanced signals, which ultimately leads to an increased speech intelligibility, may benefit from fitting the device for each subject individually. This ideally also involves the exploitation of Head-Related Impulse Responses (HRIRs). However, HRIRs vary from person to person and thus require tedious measurements for each individual. In this work, we investigate two approaches which aim at speeding up the HRIR acquisition procedure. These are continuous measurements and interpolation, where Dynamic Time Warping (DTW) as well as linear interpolation of the magnitude and phase responses are considered. In contrast to related publications, the continuous HRIR measurements are not performed in anechoic environments here. The quality of the obtained HRIRs is assessed by means of the system mismatch and the proposed error of relative transfer functions. 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