(Parakeet V3) I can't convert the RNNTDecodingConfig timestamps into actual seconds

[GreatHalf]

Hey,
I have been using the excellent Parakeet v3 model with timestamps, by enabling them in the RNNTDecodingConfig.
The Parakeet timestamps are given as integers (e.g. 13 or 961). These values are far off from the actual seconds. I figured a timestep might be 0.04s, or something similiar, but the math doesn't work.
For example I get, in the same transcript, the following two timestamps. The actual occurence in the voicefile I had to find out by listening to the voicefile.
"13" in Parakeet -> "1.12" seconds" in voicefile
"961" in Parakeet -> "76.88 seconds" in voicefile

I feel like I'm missing something. How do I get from the "13" in parakeet to the 1.12 seconds, and then with the same formula from the "961" in Parakeet to the 76.88 seconds?
I've been approximating with division by 9, but there has to be a better way.

Below ist the code I'm using to transcribe and get the timestamps.

python /opt/NeMo/examples/asr/transcribe_speech_parallel.py  /
model=parakeet-tdt-0.6b-v3 /
rnnt_decoding.strategy="greedy_batch" /
rnnt_decoding.greedy.boosting_tree.... /
rnnt_decoding.greedy.boosting_tree_alpha=1.0 /
**rnnt_decoding.rnnt_timestamp_type="word" /
rnnt_decoding.compute_timestamps=True**  /
output_path=... /
predict_ds.manifest_filepath=... /
predict_ds.batch_duration=650   /
predict_ds.quadratic_duration=30 /
predict_ds.min_duration=2 /
predict_ds.max_duration=650  /
att_context_size=[-1,-1]