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.
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