o SiW@sddlZddlmZddlmZddlmZejedddej dej dd d d ej d e d ej d ej dd d d ej dej dd d ddej ddddej dd dddedededede de f ddZ dS)N)prepareprepare_switchboard)PathlikeT) show_default)context_settingsz audio-dirF)exists file_okay)typez output-dirz--transcript-dirz--sentiment-dirzHOptional path to LDC2020T14 package with sentiment annotations for SWBD.)r helpz--omit-silence/--retain-silencez&Should the [silence] segments be kept.)defaultr z--absolute-pathszPWhether to return absolute or relative (to the corpus dir) paths for recordings. audio_dir output_dirtranscript_dir sentiment_dir omit_silenceabsolute_pathscCst||||||ddS)aP The Switchboard corpus preparation.  This is conversational telephone speech collected as 2-channel, 8kHz-sampled data. We are using just the Switchboard-1 Phase 1 training data. The catalog number LDC97S62 (Switchboard-1 Release 2) corresponds, we believe, to what we have. We also use the Mississippi State transcriptions, which we download separately from http://www.isip.piconepress.com/projects/switchboard/releases/switchboard_word_alignments.tar.gz This data is not available for free - your institution needs to have an LDC subscription. )r transcripts_dirrrrrNr)r rrrrrrX/home/ubuntu/.local/lib/python3.10/site-packages/lhotse/bin/modes/recipes/switchboard.py switchboards( r)clicklhotse.bin.modesrlhotse.recipesr lhotse.utilsrcommanddictargumentPathoptionboolrrrrrsH