cl/__init__.py,sha256=3pFYPeXXZr5ta_CaQIPGU7RZgExx2-V1hQx2EDo7ztc,261
cl/__main__.py,sha256=8d5fSN096-WFwDUiXyF4Jr6_bJ3U0kjsqVn5Vrlkr-0,100
cl/asr_models/__init__.py,sha256=tmfPSJQFjMkogfyR49qY1d2-Bh4y7CMrPpD69b4AYlY,126
cl/asr_models/asr_aku.py,sha256=l4NUBLpHdFhm8wA5KedJ3m2yuAt-_YMs0lgbqjRYvxY,9498
cl/asr_models/asr_base.py,sha256=DeAy95Mui7aRtRA3jvGQAtXhNzbPVo2tcpbHUeS26t0,7121
cl/asr_models/asr_w2v2.py,sha256=dEMseZLX7QW_C9DsRXi0ppXbCVb3_FzTn1TGnLxRXEA,4491
cl/base_asr_model.py,sha256=UEfeC1VXDDBU6Su4Scq8gAEOQ6tPh7Ihy6bqd8-dV1E,70758
cl/batch.py,sha256=Rb7d6mpJZQstS5VEcvlP9pX9ZwJnYe6FmeE7GFpnI_M,5005
cl/classes.py,sha256=YnhGhBTGcCKfZTJwMDktRW5eLFYzzP-IkC6mlpC9kF4,10697
cl/cli_dispatcher.py,sha256=9lNVm9SlAfZLrFPAM-0QBr5KoqS8kwfA33QEighj4l4,11732
cl/curriculum.py,sha256=pNwIXysOVi93NME-cHukcr6XjASp350JBxTP3C1n-vo,17066
cl/examples/hyperparameters.yaml,sha256=e7bcVUOmR7P9-a7qWaVxxjcKDNWINRunntpnG3K-oWs,14459
cl/examples/train.py,sha256=dp7VSeCziPLEZ8qleCiPcRJAQpHwN3JDHcsnoCF_ZPw,3151
cl/filelist_tokenizer.py,sha256=bBpX9BXxRnC7koWyOJxoZbiuprMWMoaNv3J77PRr4eE,9566
cl/hparams_examples/base_recipe.yaml,sha256=9zEWubvdARoKScqt_kkksGyLfVgIsbdiuOYGfX3G9jQ,13820
cl/info/__init__.py,sha256=5M8KAw2sESsCI3EvwVe0nCmm_AR_kmOlCJ4ppbgqv-k,399
cl/info/find_anomalies.py,sha256=nVm1V1AQiZnLo7m5fUs3yzGwxo6FojYZTcIzafwCPtU,5577
cl/info/get_train_times.py,sha256=K1KW-h2qNsSie0SPPu8KC1SDv9yHfik4QR_joVpTnTY,14944
cl/info/globals.py,sha256=rxdfsC82Om39Qa3LqtUP_xgVOPuLN6afYra6l-y5foM,3749
cl/info/log_corr.py,sha256=nbHrIE0wrbi8njUXYZHfNZeA9YPbfZXfPyOVUfG-Jf0,6213
cl/info/plot_metric_per_length.py,sha256=PKfDyYU2izrAsg0bOFMpAeo7bli_W9iTSKPZBFjSuiM,5338
cl/info/read_wer_test.py,sha256=D1rnkKZZaoL8MwOo30M-1myRJYcmiG5PKGobY3cnosM,5952
cl/info/statmd.py,sha256=QcRC47ykmu05cjMkEDte3WE66MHZW-Qqo94DoavK3VM,8299
cl/info/test_scores.py,sha256=QldTSH_c_Cu-OfB67ML6Ed2r0n6eT99dUJ2ak7P_OeQ,4745
cl/info/testset_correlation.py,sha256=7eeFpdXi5jVfn7re2Q9GaWCZeOMZXP-POen3PoYtYQA,4526
cl/info/time_stats.py,sha256=EfNoLUnBbofBTnzzZE-20TqXDhBnw8v0Vi23g-xnaUs,2291
cl/info/visualize.py,sha256=qx-dEIMe01IdgdxwyICG5AOPCsoiNdW0uSdaJTZRWKs,33833
cl/methods/frequency_cl.py,sha256=n8Huk1gmoEKUEsrptOh7jbQ4gM65riH4NBKkUyXQ9ts,10106
cl/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
cl/train_utlis.py,sha256=xVfTdLoaLao7C_JX91Kn2dHLPmCD3RWM6ARpRkDpDmo,22678
cl/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
cl/utils/convert_txt_to_trn.py,sha256=565IAlfl8Y00mL0AK3AkLXf_qUmOEJD0wZt-417O4lQ,3007
cl/utils/kaldi_format_calc_wer.py,sha256=SUY3iwNtTvYbQmFLY9RViIborfbi863WFsYckTYHcMM,2341
cl/utils/process_significance_tests.py,sha256=YJhRuHMMrudggFP6kWw-mqTPHH0vjKueLepPiPWt_Qo,1940
cl/utils/process_utils.py,sha256=kBc4v3EchDL9Ma7U1jmiv-dRhErecCrkwxLYHg9d5ic,13455
cl/utils/remove_repetitions.py,sha256=12B8MqwBjq_iyLo24Rcpy_ao6kYvTvclNkv9JQ5VRJo,4184
cl/utils/sb_wer_to_kaldi.py,sha256=SlE-4Aqon3YOvZ2VXLVohF3xxaVUW0A2s4RNLpLrtpE,2997
cl/utils/significance_tests.py,sha256=UBQhkGQhcXTN7ALkD3FHmZMpAhpGldtoFDR4xG5ZdxM,1163
cl/utils/significance_tests.sh,sha256=iQaACa5sGnXW_jJTTImuGzz_YXvH3QglEfVWsxBcfJQ,1225
cl/vad/data_augment.py,sha256=WFU-pZAQXtWRurhX4YJJ7UZSnzmFOJ2eYNZuCc9QHVg,13094
cl/vad/hparams/train.yaml,sha256=YhHzcjS4kZ8RdlnFHHqMmPbwGM9yxvs1H6_J45AxIBg,5614
cl/vad/train.py,sha256=EbSIgZ7AqzIaPFhQOQkJQHvEOvJPPmGe0Q--ePklq58,8984
cl/vad.py,sha256=45suR3LBlvx5hQTTO7aHOtbgPOVycEHcNOMd9sr51qA,7902
speechbrain_cl-1.0.1a0.dist-info/entry_points.txt,sha256=cEZSKhLXQsaFeYyvh9ZX-_E-HHxiqQd33MusJo2UNe0,49
speechbrain_cl-1.0.1a0.dist-info/LICENSE,sha256=c2dVZmox9HYfoKNnpMFaIU_jBIEhi6kvTiKzFIJhXbw,1069
speechbrain_cl-1.0.1a0.dist-info/WHEEL,sha256=y3eDiaFVSNTPbgzfNn0nYn5tEn1cX6WrdetDlQM4xWw,83
speechbrain_cl-1.0.1a0.dist-info/METADATA,sha256=q4AxruP6HnzXFRRUzzTT6nUKIqAS8QFPhSf5s2A6NZE,11352
speechbrain_cl-1.0.1a0.dist-info/RECORD,,
