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.
(See document for exact affiliation information.)
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.
