Acoustic Transparency in Hearables - Technical Evaluation

Denk, Florian; Schepker, Henning; Doclo, Simon; Kollmeier, Birger

doi:10.17743/jaes.2020.0042

Cited by 18 publications

(53 citation statements)

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“…These measurements agree well with quality predictions of the binaural BAM-Q, where Devices A to C showed on average the highest and similar quality scores (see Figure 3 ). The differences in the subjective quality ratings for Devices A to C must be explained by monaural differences, which can be observed in the middle panel of Figure 6 in Denk et al. (2020) , showing HRTFs at the eardrum for the hear-through case.…”

Section: Discussionmentioning

confidence: 99%

“…The accurate predictions of MoBi-Q for the AFC ( Accuracy : 0.96; Monotonicity : 0.97) and ATHD ( Accuracy : 0.83; Monotonicity : 0.8) databases with no or limited binaural distortions indicate that the modified monaural GPSM q captures most of the relevant distortions. The technical evaluation of Denk et al. (2020) for the hearables of the HTM database revealed large interaural differences for some devices, which, however, were subject to large monaural distortions as well.…”

Section: Discussionmentioning

confidence: 99%

“… Denk et al. (2020) technically evaluated the hear-through mode of the hearing devices from the HTM database to identify artefacts that potentially impair audio quality.…”

Section: Discussionmentioning

confidence: 99%

“…Device F gave the lowest subjective quality scores, which could be explained by large delay differences (left: 0.8 ms, right: 10.4 ms) between the left and right devices, poor conservation of ILDs and ITDs, and spectral ripples in the hear-through (diffuse-field) frequency response of the right channel (see Figures 4, 6, and 7 in Denk et al., 2020 ). Device F gave the lowest scores for the binaural quality model BAM-Q.…”

Section: Discussionmentioning

confidence: 99%

“…All aforementioned quality models account only for monaural aspects of audio quality, while several applications, including hear-through modes, may also introduce binaural distortions ( Denk et al., 2020 ). Such binaural distortions could arise from processing delays and sensitivity differences between the left and right ear channels of the hearing device, resulting in distorted ITDs and ILDs that may alter the perceived spatial image.…”

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confidence: 99%

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Instrumental Quality Predictions and Analysis of Auditory Cues for Algorithms in Modern Headphone Technology

et al. 2021

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Smart headphones or hearables use different types of algorithms such as noise cancelation, feedback suppression, and sound pressure equalization to eliminate undesired sound sources or to achieve acoustical transparency. Such signal processing strategies might alter the spectral composition or interaural differences of the original sound, which might be perceived by listeners as monaural or binaural distortions and thus degrade audio quality. To evaluate the perceptual impact of these distortions, subjective quality ratings can be used, but these are time consuming and costly. Auditory-inspired instrumental quality measures can be applied with less effort and may also be helpful in identifying whether the distortions impair the auditory representation of monaural or binaural cues. Therefore, the goals of this study were (a) to assess the applicability of various monaural and binaural audio quality models to distortions typically occurring in hearables and (b) to examine the effect of those distortions on the auditory representation of spectral, temporal, and binaural cues. Results showed that the signal processing algorithms considered in this study mainly impaired (monaural) spectral cues. Consequently, monaural audio quality models that capture spectral distortions achieved the best prediction performance. A recent audio quality model that predicts monaural and binaural aspects of quality was revised based on parts of the current data involving binaural audio quality aspects, leading to improved overall performance indicated by a mean Pearson linear correlation of 0.89 between obtained and predicted ratings.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“… Denk et al. (2020) technically evaluated the hear-through mode of the hearing devices from the HTM database to identify artefacts that potentially impair audio quality.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

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