Subjective Sound Quality Evaluation of an Acoustically Transparent Hearing Device

In this paper we evaluate the performance of a real-time hearing device prototype that aims at achieving acoustically transparent sound presentation. Acoustic transparency refers to the perceptual equivalence of the sound at the aided ear drum, i.e., with the hearing device inserted and processing on, and the open ear drum, i.e., without the hearing device inserted. The considered hearing device combines a custom earpiece with multiple microphones and signal processing algorithms for robust feedback suppression and sound pressure equalization. We evaluate the perceived overall sound quality of this prototype using dummy head recordings in different acoustic conditions using a multi-stimulus with hidden reference and anchor-like framework with N = 15 normal-hearing subjects. Results show that the overall sound quality can be significantly improved for all conditions by using sound pressure equalization, where the processing delay of the device is a crucial limiting factor of the sound quality.

[1]  Birger Kollmeier,et al.  The Acoustically Transparent Hearing Device: Towards Integration of Individualized Sound Equalization, Electro-Acoustic Modeling and Feedback Cancellation , 2017 .

[2]  Birger Kollmeier,et al.  Adapting Hearing Devices to the Individual Ear Acoustics: Database and Target Response Correction Functions for Various Device Styles , 2018, Trends in hearing.

[3]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[4]  Vesa Välimäki,et al.  An allpass hear-through headset , 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

[5]  Birger Kollmeier,et al.  Spectral directional cues captured by hearing device microphones in individual human ears. , 2018, The Journal of the Acoustical Society of America.

[6]  Inga Holube,et al.  Open Versus Closed Hearing-Aid Fittings: A Literature Review of Both Fitting Approaches , 2016, Trends in hearing.

[7]  Birger Kollmeier,et al.  Modifications of the MUlti stimulus test with Hidden Reference and Anchor (MUSHRA) for use in audiology , 2018, International journal of audiology.

[8]  Simon Doclo,et al.  Combined feedforward-feedback noise reduction schemes for open-fitting hearing aids , 2011, 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

[9]  Flemming Christensen,et al.  Insert earphone calibration for hear-through options , 2013 .

[10]  S Gatehouse,et al.  Limitations on insertion gains with vented earmoulds imposed by oscillatory feedback. , 1989, British journal of audiology.

[11]  Sven Nordholm,et al.  Multichannel Signal Enhancement Algorithms for Assisted Listening Devices: Exploiting spatial diversity using multiple microphones , 2015, IEEE Signal Processing Magazine.

[12]  Matthias Blau,et al.  Individualized prediction of the sound pressure at the eardrum for an earpiece with integrated receivers and microphones. , 2019, The Journal of the Acoustical Society of America.

[13]  Birger Kollmeier,et al.  Equalization filter design for achieving acoustic transparency in a semi-open fit hearing device , 2018, ITG Symposium on Speech Communication.

[14]  Vesa Välimäki,et al.  Assisted Listening Using a Headset: Enhancing audio perception in real, augmented, and virtual environments , 2015, IEEE Signal Processing Magazine.

[15]  Simon Doclo,et al.  Null-Steering Beamformer-Based Feedback Cancellation for Multi-Microphone Hearing Aids With Incoming Signal Preservation , 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[16]  Swen Müller,et al.  Transfer-Function Measurement with Sweeps , 2001 .

[17]  Brian C. J. Moore,et al.  Tolerable Hearing Aid Delays. V. Estimation of Limits for Open Canal Fittings , 2008, Ear and hearing.

[18]  Giso Grimm,et al.  The master hearing Aid : A PC-based platform for algorithm development and evaluation , 2006 .

[19]  Fabian J. Theis,et al.  The signal separation evaluation campaign (2007-2010): Achievements and remaining challenges , 2012, Signal Process..

[20]  Birger Kollmeier,et al.  High-Fidelity Hearing Instruments: Evaluating Listening Quality of a New Prototype Using a Method for Evaluating Modified Listening (MEML) , 2016 .

[21]  Birger Kollmeier,et al.  An individualised acoustically transparent earpiece for hearing devices , 2018, International journal of audiology.