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Conference Paper Impact of Compression on the Performance of the Room Impulse Response Interpolation Approach to Spatial Audio Synthesis
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Authors
Hualin Ren, Christian Ritz, Jiahong Zhao, Daeyoung Jang
Issue Date
2022-11
Citation
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA-ASC) 2022, pp.442-448
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.23919/APSIPAASC55919.2022.9980324
Abstract
In Virtual Reality (VR) an application where a user is able to move freely in the virtual or physical environment, the 3D sound scene reproduced over headphones, including the acoustic Room Impulse Response (RIR) must be constantly updated. Storing and transmitting the RIR for every possible source and listening position is impractical and hence efficient compression is required. This paper investigates compression and interpolation approaches for synthesising the RIR at new listening positions using a discrete set of compressed directional RIRs (DRIRs) recorded with an Ambisonics B-format microphone. The predicted sound quality and localisation accuracy of Ambisonic sound scenes derived using interpolated, compressed RIRs is based on the Neural Similarity Index Measure (NSIM) applied to the time-frequency phase information derived from reference and synthesised B-format channels and as used in the AMBIQUAL objective spatial audio quality metric. Results show a strong correlation between the compression bitrate and the objective quality scores of B-format Ambisonics audios including interpolated and ground truth DRIRs.
KSP Keywords
3d sound, Acoustic room, Audio quality, Audio synthesis, Discrete set, Objective quality, Phase information, Physical environment, Quality Metrics, Quality Scores, Room Impulse Response(RIR)