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Multi-Channel Compression and Coding of Reverberant Ad-Hoc Recordings Through Spatial Autoregressive Modelling
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
2019 (English)In: 2019 30th Irish Signals and Systems Conference (ISSC), IEEE, 2019Conference paper, Published paper (Refereed)
Abstract [en]

Autoregressive modelling techniques such as multi-channel linear prediction are widely used for applications such as coding, dereverberation and compression of the speech signals. State of the art multi-channel linear prediction methods do not take into account the locations of the microphones and assume single distance compact microphone arrays. In this paper a spatially modified multichannel autoregressive compression and coding method is proposed and successfully tested in order to adapt the standard multi-channel method to the virtual reality and immersive video conferencing applications where the microphones can be meters away from each other. The proposed method estimates the spatial distances between each microphone and the source to optimise the joint compression of the signals recorded within a wide area. The results suggest that the proposed method outperforms the standard multi-channel compression and coding when applied to the ad-hoc scenarios.

Place, publisher, year, edition, pages
IEEE, 2019.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-38155DOI: 10.1109/ISSC.2019.8904918Scopus ID: 2-s2.0-85075927343ISBN: 978-1-7281-2800-9 (electronic)OAI: oai:DiVA.org:miun-38155DiVA, id: diva2:1380702
Conference
30th Irish Signals and Systems Conference 2019, Maynooth, Ireland, 17-19 June, 2019
Funder
European Regional Development Fund (ERDF)Available from: 2019-12-19 Created: 2019-12-19 Last updated: 2020-01-10Bibliographically approved

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CiteExportLink to record
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