Bucketing duration bins: less optimal but instant init when not provided + fixes in estimation script

[pzelasko]

What does this PR do ?

• speed-up in training start when duration bins are not provided (we will assume uniform split to num_buckets - 1 bins over the span of [min_duration - max_duration])
• scripts/speech_recognition/estimate_duration_bins.py
  • support more data input flags supported by NeMo training configs
  • a lot of fixes to various edge cases and excessive memory usage...
• renamed missing_sampling_rate_ok option in LhotseDataLoadingConfig to metadata_only and broadened its scope to prevent the construction of an infinite iterator over data (there was no way to get a precise bin estimate in multi-dataset setups before)

Collection: ASR

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[titu1994]

Looks great ! Thanks

[titu1994]

What about backward compat? Will older models with this flag crash ?