Primary-Ambient Extraction Using Ambient Spectrum Estimation for Immersive Spatial Audio Reproduction

• Main Authors: He, Jianjun, Gan, Woon-Seng, Tan, Ee-Leng
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2016
• 主題: Ambient spectrum estimation (ASE); Computational efficiency; Primary-ambient extraction (PAE); Sparsity; Spatial audio
• 在線閱讀: https://hdl.handle.net/10356/81370; http://hdl.handle.net/10220/39537
• 機構: Nanyang Technological University

The diversity of today’s playback systems requires a flexible, efficient, and immersive reproduction of sound scenes in digital media. Spatial audio reproduction based on primary-ambient extraction (PAE) fulfills this objective, where accurate extraction of primary and ambient components from sound...