Visualization and analysis of multi-channel dynamic range compression in hearing aids

被引:0
|
作者
Juergensen, Lukas [1 ,2 ]
Denk, Florian [1 ]
Husstedt, Hendrik [1 ]
机构
[1] German Inst Hearing Aids, Anschutzstr 1, Lubeck, Germany
[2] Univ Southern Denmark, Fac Hlth Sci, Inst Clin Res, Odense, Denmark
来源
ACTA ACUSTICA | 2024年 / 8卷
关键词
Hearing aid channel (HAC); Automatic gain control (AGC); Dynamic range compression; Compressor; NUMBER; CHANNELS;
D O I
10.1051/aacus/2023066
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
One main functionality of hearing aids is restoring audibility. This means that low sound pressure levels are amplified above the elevated hearing threshold, and higher sound pressure levels do not exceed the individual uncomfortable loudness level (UCL). To this end, hearing aids provide frequency-dependent dynamic range compression which is denoted as hearing aid channels (HACs) in the recently published standard IEC 60118-16. As an increasing number of HACs, among other features, is one main feature to differentiate between price or technology levels, IEC 60118-16 includes a measurement procedure to verify the number of HACs. In this work, we verify this test procedure with a research hearing aid (RHA), and evaluate six commercial hearing aids of three different manufacturers and two technology levels. These results demonstrate the possibilities and limitations of the new test procedure. Furthermore, we introduced an extension of this test procedure with a channel-specific compression setting to overcome limitations and to get a deeper insight into the functionality of HACs in hearing aids. These results show that many HACs of commercial devices are coupled to neighboring frequencies, and that different strategies are used across manufacturers to adapt the number of HACs for different technology levels.
引用
收藏
页数:11
相关论文
共 20 条
  • [1] A combined multi-channel Wiener filter-based noise reduction and dynamic range compression in hearing aids
    Ngo, Kim
    Spriet, Ann
    Moonen, Marc
    Wouters, Jan
    Jensen, Soren Holdt
    SIGNAL PROCESSING, 2012, 92 (02) : 417 - 426
  • [2] Temporal processing and speech perception through multi-channel and channel-free hearing aids in hearing impaired
    Mohan, Kishan Madikeri
    Rajashekhar, Bellur
    INTERNATIONAL JOURNAL OF AUDIOLOGY, 2019, 58 (12) : 923 - 932
  • [3] Understanding compression: Modeling the effects of dynamic-range compression in hearing aids
    Kates, James M.
    INTERNATIONAL JOURNAL OF AUDIOLOGY, 2010, 49 (06) : 395 - 409
  • [4] A Sliding-band Dynamic Range Compression for Use in Hearing Aids
    Tiwari, Nitya
    Pandey, Prem C.
    2014 TWENTIETH NATIONAL CONFERENCE ON COMMUNICATIONS (NCC), 2014,
  • [5] Sliding-band dynamic range compression for use in hearing aids
    Nitya Tiwari
    Prem C. Pandey
    International Journal of Speech Technology, 2019, 22 : 911 - 926
  • [6] Sliding-band dynamic range compression for use in hearing aids
    Tiwari, Nitya
    Pandey, Prem C.
    INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY, 2019, 22 (04) : 911 - 926
  • [7] Development of a new method for deriving initial fittings for hearing aids with multi-channel compression: CAMEQ2-HF
    Moore, Brian C. J.
    Glasberg, Brian R.
    Stone, Michael A.
    INTERNATIONAL JOURNAL OF AUDIOLOGY, 2010, 49 (03) : 216 - 227
  • [8] Localization Cues Preservation in Hearing Aids by Combining Noise Reduction and Dynamic Range Compression
    Llave, Adrien
    Leglaive, Simon
    Seguier, Renaud
    2020 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), 2020, : 686 - 693
  • [9] RETRACTED: Multi-channel adaptive loudness compensation algorithm based on noise tracking in digital hearing aids (Retracted Article)
    Li, Ruwei
    Dai, Kaixuan
    Ye, Zelin
    Zahng, Yongya
    SPEECH COMMUNICATION, 2021, 130 : 64 - 76
  • [10] Estimation of Attack Time Constant for Dynamic Range Compressors in Hearing Aids
    Deepu, S. P.
    David, Sumam S.
    Kini, Ramesh M.
    2016 IEEE INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP), 2016, : 20 - 24