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add testing · speechbrain/speechbrain@a6d5d54 · GitHub

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Titouan Parcollet
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add testing
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‎tests/recipes/LibriSpeech.csv‎

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@@ -4,7 +4,7 @@ ASR,LibriSpeech,recipes/LibriSpeech/ASR/CTC/train_with_wav2vec.py,recipes/LibriS
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ASR,LibriSpeech,recipes/LibriSpeech/ASR/seq2seq/train.py,recipes/LibriSpeech/ASR/seq2seq/hparams/train_BPE_1000.yaml,recipes/LibriSpeech/ASR/seq2seq/librispeech_prepare.py,recipes/LibriSpeech/ASR/seq2seq/README.md,https://drive.google.com/drive/folders/19mAyMR1ITSb83Anhds4n694PLwKD47yf?usp=sharing https://drive.google.com/drive/folders/15uUZ21HYnw4KyOPW3tx8bLrS9RoBZfS7?usp=sharing,https://huggingface.co/speechbrain/asr-crdnn-rnnlm-librispeech,--data_folder=tests/samples/ASR/ --train_csv=tests/samples/annotation/ASR_train.csv --valid_csv=tests/samples/annotation/ASR_train.csv --test_csv=[tests/samples/annotation/ASR_train.csv] --number_of_epochs=10 --skip_prep=True --data_folder_rirs=tests/tmp,"file_exists=[env.log,hyperparams.yaml,log.txt,train_log.txt,train.py,wer_ASR_train.txt,save/lm.ckpt,save/tokenizer.ckpt] performance_check=[train_log.txt, train loss, <=18.5, epoch: 10]"
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ASR,LibriSpeech,recipes/LibriSpeech/ASR/seq2seq/train.py,recipes/LibriSpeech/ASR/seq2seq/hparams/train_BPE_5000.yaml,recipes/LibriSpeech/ASR/seq2seq/librispeech_prepare.py,recipes/LibriSpeech/ASR/seq2seq/README.md,https://drive.google.com/drive/folders/19mAyMR1ITSb83Anhds4n694PLwKD47yf?usp=sharing https://drive.google.com/drive/folders/15uUZ21HYnw4KyOPW3tx8bLrS9RoBZfS7?usp=sharing,https://huggingface.co/speechbrain/asr-crdnn-transformerlm-librispeech,--data_folder=tests/samples/ASR/ --train_csv=tests/samples/annotation/ASR_train.csv --valid_csv=tests/samples/annotation/ASR_train.csv --test_csv=[tests/samples/annotation/ASR_train.csv] --number_of_epochs=10 --skip_prep=True --data_folder_rirs=tests/tmp,"file_exists=[env.log,hyperparams.yaml,log.txt,train_log.txt,train.py,wer_ASR_train.txt,save/lm.ckpt,save/tokenizer.ckpt] performance_check=[train_log.txt, train loss, <=18.5, epoch: 10]"
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ASR,LibriSpeech,recipes/LibriSpeech/ASR/seq2seq/train.py,recipes/LibriSpeech/ASR/seq2seq/hparams/train_BPE_1000_sligru.yaml,recipes/LibriSpeech/ASR/seq2seq/librispeech_prepare.py,recipes/LibriSpeech/ASR/seq2seq/README.md,,,--data_folder=tests/samples/ASR/ --train_csv=tests/samples/annotation/ASR_train.csv --valid_csv=tests/samples/annotation/ASR_train.csv --test_csv=[tests/samples/annotation/ASR_train.csv] --number_of_epochs=10 --skip_prep=True --data_folder_rirs=tests/tmp,"file_exists=[env.log,hyperparams.yaml,log.txt,train_log.txt,train.py,wer_ASR_train.txt,save/lm.ckpt,save/tokenizer.ckpt] performance_check=[train_log.txt, train loss, <=18.5, epoch: 10]"
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ASR,LibriSpeech,recipes/LibriSpeech/ASR/transducer/train.py,recipes/LibriSpeech/ASR/transducer/hparams/train.yaml,recipes/LibriSpeech/ASR/transducer/librispeech_prepare.py,recipes/LibriSpeech/ASR/transducer/README.md,https://drive.google.com/drive/folders/17kEW0crU3tyP-8-u5TeoFom4ton_B-j2?usp=sharing,,--data_folder=tests/samples/ASR/ --train_csv=tests/samples/annotation/ASR_train.csv --valid_csv=tests/samples/annotation/ASR_train.csv --test_csv=[tests/samples/annotation/ASR_train.csv] --number_of_epochs=10 --skip_prep=True --data_folder_rirs=tests/tmp,"file_exists=[env.log,hyperparams.yaml,log.txt,train_log.txt,train.py,wer_ASR_train.txt,save/lm.ckpt,save/tokenizer.ckpt] performance_check=[train_log.txt, train loss, <=400, epoch: 10]"
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ASR,LibriSpeech,recipes/LibriSpeech/ASR/transducer/train.py,recipes/LibriSpeech/ASR/transducer/hparams/conformer_transducer.yaml,recipes/LibriSpeech/ASR/transducer/librispeech_prepare.py,recipes/LibriSpeech/ASR/transducer/README.md,,,--data_folder=tests/samples/ASR/ --train_csv=tests/samples/annotation/ASR_train.csv --valid_csv=tests/samples/annotation/ASR_train.csv --test_csv=[tests/samples/annotation/ASR_train.csv] --number_of_epochs=10 --skip_prep=True,"file_exists=[env.log,hyperparams.yaml,log.txt,train_log.txt,train.py,wer_ASR_train.txt,save/lm.ckpt,save/tokenizer.ckpt] performance_check=[train_log.txt, train loss, <=1000, epoch: 10]"
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ASR,LibriSpeech,recipes/LibriSpeech/ASR/transformer/train.py,recipes/LibriSpeech/ASR/transformer/hparams/conformer_small.yaml,recipes/LibriSpeech/ASR/transformer/librispeech_prepare.py,recipes/LibriSpeech/ASR/transformer/README.md,https://drive.google.com/drive/folders/1I4qntoodHCcj1JNbDrfwFHYcLyu1S5-l?usp=sharing,https://huggingface.co/speechbrain/asr-conformersmall-transformerlm-librispeech,--data_folder=tests/samples/ASR/ --train_csv=tests/samples/annotation/ASR_train.csv --valid_csv=tests/samples/annotation/ASR_train.csv --test_csv=[tests/samples/annotation/ASR_train.csv] --number_of_epochs=10 --skip_prep=True,"file_exists=[env.log,hyperparams.yaml,log.txt,train_log.txt,train.py,wer_ASR_train.txt,save/lm.ckpt,save/tokenizer.ckpt] performance_check=[train_log.txt, train loss, <350, epoch: 10]"
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ASR,LibriSpeech,recipes/LibriSpeech/ASR/transformer/train.py,recipes/LibriSpeech/ASR/transformer/hparams/transformer.yaml,recipes/LibriSpeech/ASR/transformer/librispeech_prepare.py,recipes/LibriSpeech/ASR/transformer/README.md,https://drive.google.com/drive/folders/1Nv1OLbHLqVeShyZ8LY9gjhYGE1DBFzFf?usp=sharing,https://huggingface.co/speechbrain/asr-transformer-transformerlm-librispeech,--data_folder=tests/samples/ASR/ --train_csv=tests/samples/annotation/ASR_train.csv --valid_csv=tests/samples/annotation/ASR_train.csv --test_csv=[tests/samples/annotation/ASR_train.csv] --number_of_epochs=10 --skip_prep=True,"file_exists=[env.log,hyperparams.yaml,log.txt,train_log.txt,train.py,wer_ASR_train.txt,save/lm.ckpt,save/tokenizer.ckpt] performance_check=[train_log.txt, train loss, <=350, epoch: 10]"
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ASR,LibriSpeech,recipes/LibriSpeech/ASR/CTC/train_with_wav2vec.py,recipes/LibriSpeech/ASR/CTC/hparams/downsampled/train_hf_wavlm_signal_downsampling.yaml,recipes/LibriSpeech/ASR/CTC/librispeech_prepare.py,recipes/LibriSpeech/ASR/CTC/README.md,,,--downsampling_factor 2 --data_folder=tests/samples/ASR/ --skip_prep=True --train_csv=tests/samples/annotation/ASR_train.csv --valid_csv=tests/samples/annotation/ASR_train.csv --test_csv=[tests/samples/annotation/ASR_train.csv] --number_of_epochs=10 --use_language_modelling=False --ngram_lm_path=empty,

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