“…[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.…”
Thanks to the project of educational commission of Guangdong province of China (2018KCXTD019), special fund for science and technology of Guangdong province(191103104554996) and Key projects of Shandong Natural Science Foundation(ZR2020KF022).
“…[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.…”
Thanks to the project of educational commission of Guangdong province of China (2018KCXTD019), special fund for science and technology of Guangdong province(191103104554996) and Key projects of Shandong Natural Science Foundation(ZR2020KF022).
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