In large audio collections, it is common to store audio content with perceptual encoding. However, encoding
parameters may vary from collection to collection or even within a collection - using different bit rates,
sample rates, codecs, etc. We evaluate the effect of various audio encodings on the onset detection task.
We show that audio-based onset detection methods are surprisingly robust in the presence of MP3 encoded
audio. Statistically significant changes in onset detection accuracy only occur at bit-rates lower than 32kbps.