Analysis and Comparison of Inter-Channel Level Difference and Interaural Level Difference

Wu, Tingzhao; Hu, Ruimin; Gao, Li; Wang, Xiaochen; Ke, Shanfa

doi:10.1007/978-3-319-27671-7_49

Cited by 2 publications

(1 citation statement)

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“…Owing to the filter function of transmission process from multiple loudspeakers to ears, significant differences exist between inter-channel cues and interaural cues in the case of playback with loudspeakers. For example, with two loudspeakers with azimuths −110°and 30°, the difference of ICLD and corresponding ILD could be up to 55 dB [18].…”

Section: Related Workmentioning

confidence: 99%

JND-based spatial parameter quantization of multichannel audio signals

Gao

Wang

et al. 2016

J AUDIO SPEECH MUSIC PROC.

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In multichannel spatial audio coding (SAC), the accurate representations of virtual sounds and the efficient compressions of spatial parameters are the key to perfect reproduction of spatial sound effects in 3D space. Just noticeable difference (JND) characteristics of human auditory system can be used to efficiently remove spatial perceptual redundancy in the quantization of spatial parameters. However, the quantization step sizes of spatial parameters in current SAC methods are not well correlated with the JND characteristics. It results in either spatial perceptual distortion or inefficient compression. A JND-based spatial parameter quantization (JSPQ) method is proposed in this paper. The quantization step sizes of spatial parameters are assigned according to JND values of azimuths in a full circle. The quantization codebook size of JSPQ was 56.7 % lower than one of the quantization codebooks of MPEG surround. Average bit rate reduction on spatial parameters for standard 5.1-channel signals reached up to approximately 13 % compared with MPEG surround, while preserving comparable subjective spatial quality.

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Section: Related Workmentioning

confidence: 99%