DeepSpeech/bin
Daniel Tinazzi 4fa8dd38c6
Fixed M-AILABS broken link
I replaced the broken link with the updated one that I found on the same website here:
http://www.caito.de/2019/01/the-m-ailabs-speech-dataset/
2021-11-17 14:20:19 +01:00
..
README.rst
compare_samples.py
data_set_tool.py
graphdef_binary_to_text.py
import_aidatatang.py
import_aishell.py
import_ccpmf.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_m-ailabs.py Fixed M-AILABS broken link 2021-11-17 14:20:19 +01:00
import_magicdata.py
import_primewords.py
import_slr57.py
import_swb.py
import_swc.py
import_ted.py
import_timit.py
import_ts.py
import_tuda.py
import_vctk.py
import_voxforge.py
ops_in_graph.py
play.py
run-ci-graph_augmentations.sh
run-ci-ldc93s1_checkpoint.sh
run-ci-ldc93s1_checkpoint_bytes.sh
run-ci-ldc93s1_checkpoint_sdb.sh
run-ci-ldc93s1_new.sh
run-ci-ldc93s1_new_bytes.sh
run-ci-ldc93s1_new_bytes_tflite.sh
run-ci-ldc93s1_new_metrics.sh
run-ci-ldc93s1_new_sdb.sh
run-ci-ldc93s1_new_sdb_csv.sh
run-ci-ldc93s1_singleshotinference.sh
run-ci-ldc93s1_tflite.sh
run-ci-sample_augmentations.sh
run-ci-transfer.sh
run-ldc93s1.sh

README.rst

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.