cut_id does not match original utt_id

[wgb14]

From #522 (comment), in decoding script, we tried to introduce utt_id into recognition results to better compare:

icefall/egs/librispeech/ASR/pruned_transducer_stateless5/decode.py

Line 567 in a66e74b

cut_ids = [cut.id for cut in batch["supervisions"]["cut"]]

But actually cut_id is not the original utt_id in dataset, especially after cut_set.trim_to_supervisions(), cut_id becomes random value. In my experiments it should be

utt_ids = [cut.supervisions[0].id for cut in batch["supervisions"]["cut"]]

[pzelasko]

Good point, maybe we should change trim to supervisions behavior in Lhotse to adopt the supervision ID instead. Could you make a PR?

[wgb14]

Good point, maybe we should change trim to supervisions behavior in Lhotse to adopt the supervision ID instead. Could you make a PR?

Agreed. I'll open a PR for this.

But this doesn't work for recipes like librispeech since it does not do cut_set.trim_to_supervisions()