Loading README.md +4 −2 Original line number Diff line number Diff line ### General remarks The intrusive binaural audio quality model BAM-Q (Fleßner et al., 2017) requires the clean and the distorted signal as input to estimate perceived binaural quality differences. Stereo signals ([left channel right channel]) are required as model input. A stimuli level of Loading Loading @@ -25,7 +27,7 @@ A more detailed description of BAM-Q is given in: J.-H. Fleßner, R. Huber, and S. D. Ewert, "Assessment and Prediction of Binaural Aspects of Audio Quality", Journal of the Audio Engineering Society, vol. 65, no.11, PP.929-942. 2017. https://doi.org/10.17743/jaes.2017.0037 ### Abstract: **Abstract:** Binaural or spatial presentation of audio signals has become increasingly important in consumer sound reproduction, but also for hearing assistive devices like hearing aids, where signals in both ears might undergo heavy signal processing. Such processing might introduce Loading @@ -41,7 +43,7 @@ different hearing aid algorithms were used to evaluate the performance of the mo correlations between subjective mean ratings and model predictions are higher than 0.9. #### Author of the Matlab implementation of BAM-Q: Author of the Matlab implementation of BAM-Q: jan-hendrik.flessner@jade-hs.de Loading Loading
README.md +4 −2 Original line number Diff line number Diff line ### General remarks The intrusive binaural audio quality model BAM-Q (Fleßner et al., 2017) requires the clean and the distorted signal as input to estimate perceived binaural quality differences. Stereo signals ([left channel right channel]) are required as model input. A stimuli level of Loading Loading @@ -25,7 +27,7 @@ A more detailed description of BAM-Q is given in: J.-H. Fleßner, R. Huber, and S. D. Ewert, "Assessment and Prediction of Binaural Aspects of Audio Quality", Journal of the Audio Engineering Society, vol. 65, no.11, PP.929-942. 2017. https://doi.org/10.17743/jaes.2017.0037 ### Abstract: **Abstract:** Binaural or spatial presentation of audio signals has become increasingly important in consumer sound reproduction, but also for hearing assistive devices like hearing aids, where signals in both ears might undergo heavy signal processing. Such processing might introduce Loading @@ -41,7 +43,7 @@ different hearing aid algorithms were used to evaluate the performance of the mo correlations between subjective mean ratings and model predictions are higher than 0.9. #### Author of the Matlab implementation of BAM-Q: Author of the Matlab implementation of BAM-Q: jan-hendrik.flessner@jade-hs.de Loading
