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At some window lengths the model silently drops the first clause: on a looped speech clip, 4 of 167 lengths between 55 and 60 s, and a 61.91 s window, lost their first 9 words. A window with a token gap of at least 1 s that is as loud as speech is decoded again with 0.5 s of leading silence, and the result with more tokens wins. Clean windows are unchanged. Decoding with 1.5 s of overlap before each cut was measured too and was worse on 573 s of audio (2.62% WER against 0.98%), so it is not used. Empty audio no longer makes a zero-length window, which aborted the decoder.