2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2014
DOI: 10.1109/icassp.2014.6853815
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Quality assessment of multi-channel audio processing schemes based on a binaural auditory model

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Cited by 3 publications
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“…[5] considers the auditory properties from the attention mechanism to model the mobile audio objective quality assessment. [6], [7] introduces a perceptual, binaural audioquality model to perceive spatial quality differences between FIGURE 2: Comparison of spectrum between clean and corrupted speeches with short wave communication channel interfered by FM noise jamming signal two audio signals in multi-channel reproduction. More recently, [8] uses CNN to estimate the per-frame quality and adopt RNN to aggregate the per-frame values over time, to estimate the overall speech quality.…”
Section: Introductionmentioning
confidence: 99%
“…[5] considers the auditory properties from the attention mechanism to model the mobile audio objective quality assessment. [6], [7] introduces a perceptual, binaural audioquality model to perceive spatial quality differences between FIGURE 2: Comparison of spectrum between clean and corrupted speeches with short wave communication channel interfered by FM noise jamming signal two audio signals in multi-channel reproduction. More recently, [8] uses CNN to estimate the per-frame quality and adopt RNN to aggregate the per-frame values over time, to estimate the overall speech quality.…”
Section: Introductionmentioning
confidence: 99%