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Express Paper Open Access

Transient Detection Methods for Audio Coding

Authors: Fan, Senyuan; Kuo, Emily; Shah, Sneha; Bosi, Marina

AES Convention 155 · Paper 131 · October 2023

Abstract

Transient detection is an important algorithm in perceptual audio codecs that enables adaptation in filterbank resolution to effectively mitigate artifacts in encoded audio signals. We present a curated selection of transient detection methods tailored for audio coding purposes, namely high frequency energy (HFE), block perceptual entropy (BPE), time-frequency spectral flatness measure (TFSFM), and sub-block peak energy (SPE). The methods are then evaluated in a MUSHRA listening test using selected critical materials from the EBU-SQAM dataset. This paper provides insights into perceptual audio coding and paves the way for further optimization in transient detection.

Details

Published in
AES Convention 155
AES Convention
155
Paper number
131
Publication date
October 6, 2023
Session subject
Signal Processing
Affiliation
Center for Computer Research in Music and Acoustics (CCRMA), Stanford University; Center for Computer Research in Music and Acoustics (CCRMA), Stanford University; Center for Computer Research in Music and Acoustics (CCRMA), Stanford University; Center for Computer Research in Music and Acoustics (CCRMA), Stanford University (See document for exact affiliation information.)
Type
Express Paper