зеркало из https://github.com/mozilla/DeepSpeech.git
670e06365e | ||
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.. | ||
README.md | ||
benchmark_nc.py | ||
benchmark_plotter.py | ||
gpu_usage_chart | ||
gpu_usage_plot | ||
graphdef_binary_to_text.py | ||
import_aidatatang.py | ||
import_aishell.py | ||
import_cv.py | ||
import_cv2.py | ||
import_fisher.py | ||
import_freestmandarin.py | ||
import_gram_vaani.py | ||
import_ldc93s1.py | ||
import_librivox.py | ||
import_lingua_libre.py | ||
import_primewords.py | ||
import_swb.py | ||
import_ted.py | ||
import_timit.py | ||
import_ts.py | ||
import_voxforge.py | ||
ops_in_graph.py | ||
run-ldc93s1.sh | ||
run-tc-ldc93s1_checkpoint.sh | ||
run-tc-ldc93s1_new.sh | ||
run-tc-ldc93s1_singleshotinference.sh | ||
run-tc-ldc93s1_tflite.sh |
README.md
Utility scripts
This folder contains scripts that can be used to do training on the various included importers from the command line. This is useful to be able to run training without a browser open, or unattended on a remote machine. They should be run from the base directory of the repository. Note that the default settings assume a very well-specified machine. In the situation that out-of-memory errors occur, you may find decreasing the values of --train_batch_size
, --dev_batch_size
and --test_batch_size
will allow you to continue, at the expense of speed.