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Convention Paper Open Access

Correlation-Based Surround-to-Immersive Upmixer

Authors: Paez, Thaddeus; Bharitkar, Sunil; Souza Blanes, Ema

Convention Paper · Paper 10714 · June 2024

Abstract

This paper presents a novel surround-to-immersive upmixing approach, incorporating a generalized equal-level ambiance extraction algorithm for multichannel content. Additionally, a new side/rear channel extraction technique based on similarities in channel triads is presented. The proposed upmixer surpasses two commercially available upmixers in objective metrics and subjective listening tests, achieving higher spatial consistency while preserving high timbral quality.

Details

AES Convention
156
Paper number
10714
Publication date
June 6, 2024
Affiliation
Samsung Research Tijuana; Samsung Research America; Samsung Research America (See document for exact affiliation information.)
Type
Convention Paper