Replace author-specific absolute paths in configs with neutral placeholders
Browse files
alignment.yaml
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@@ -1,5 +1,5 @@
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# Generated 2026-02-02 from:
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# /
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# yamllint disable
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# ############################################################################
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# Model: E2E ASR with Conformer Transducer (Character-level)
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@@ -20,7 +20,7 @@ save_folder: results/conformer_transducer_char/3407/save
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train_log: results/conformer_transducer_char/3407/train_log.txt
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# Data files
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data_folder: /
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# Files to hold the manifest data
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train_json: !ref <save_folder>/train.json
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# Generated 2026-02-02 from:
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# /home/streamalign/streamASR/hparams/train_chunk_streaming.yaml
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# yamllint disable
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# ############################################################################
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# Model: E2E ASR with Conformer Transducer (Character-level)
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train_log: results/conformer_transducer_char/3407/train_log.txt
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# Data files
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data_folder: /home/datasets/LibriTTS
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# Files to hold the manifest data
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train_json: !ref <save_folder>/train.json
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boundary_classifier/boundary_classifier.yaml
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@@ -25,14 +25,14 @@ __set_seed: !apply:speechbrain.utils.seed_everything [42]
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# ββ ASR model (frozen feature extractor) ββββββββββββββββββββββββββββββββββββ
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# Path to the YAML used to train the streaming ASR model.
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asr_hparams_file: /
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# Path to a checkpoint directory (must contain model.ckpt and normalizer.ckpt).
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asr_checkpoint: /
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# Path to a sentencepiece tokenizer checkpoint (tokenizer.ckpt).
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# If null the script searches <asr_checkpoint>/../../pretrained/tokenizer.ckpt.
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tokenizer_ckpt: /
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# ββ Streaming configuration (must match the ASR model's inference setting) ββ
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chunk_size: 4 # encoder output frames per chunk (~40 ms / chunk)
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@@ -40,7 +40,7 @@ left_context: 32 # left context in # of chunks
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# ββ Dataset ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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# LibriSpeech root directory (contains train-clean-100/, dev-clean/, β¦)
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data_folder: /
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# Splits used for dataset creation.
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train_splits:
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@@ -52,7 +52,7 @@ valid_split:
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- test-clean
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# Directory where the pre-extracted .pt dataset files are written / read from.
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dataset_dir: /
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# ββ BoundaryClassifier architecture βββββββββββββββββββββββββββββββββββββββββ
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joint_dim: 640 # must match the ASR model's joint_dim
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@@ -74,6 +74,6 @@ num_workers: 4
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neg_weight: 3.0
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# ββ Output βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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output_folder: /
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checkpoint_folder: !ref <output_folder>/save
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train_log: !ref <output_folder>/train_log.txt
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# ββ ASR model (frozen feature extractor) ββββββββββββββββββββββββββββββββββββ
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# Path to the YAML used to train the streaming ASR model.
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asr_hparams_file: /home/streamalign/streamASR/hparams/chunk_streaming_word_fastemit.yaml
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# Path to a checkpoint directory (must contain model.ckpt and normalizer.ckpt).
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asr_checkpoint: /home/streamalign/streamASR/results/conformer_transducer_char/3419_fastemit/save/CKPT+2026-04-13+02-03-40+00
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# Path to a sentencepiece tokenizer checkpoint (tokenizer.ckpt).
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# If null the script searches <asr_checkpoint>/../../pretrained/tokenizer.ckpt.
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tokenizer_ckpt: /home/streamalign/streamASR/results/conformer_transducer_char/3419_fastemit/pretrained/tokenizer.ckpt
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# ββ Streaming configuration (must match the ASR model's inference setting) ββ
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chunk_size: 4 # encoder output frames per chunk (~40 ms / chunk)
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# ββ Dataset ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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# LibriSpeech root directory (contains train-clean-100/, dev-clean/, β¦)
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data_folder: /home/datasets/LibriSpeech
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# Splits used for dataset creation.
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train_splits:
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- test-clean
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# Directory where the pre-extracted .pt dataset files are written / read from.
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dataset_dir: /home/streamalign/streamASR/data/boundary_dataset
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# ββ BoundaryClassifier architecture βββββββββββββββββββββββββββββββββββββββββ
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joint_dim: 640 # must match the ASR model's joint_dim
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neg_weight: 3.0
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# ββ Output βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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output_folder: /home/streamalign/streamASR/train/results/boundary_classifier_0416
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checkpoint_folder: !ref <output_folder>/save
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train_log: !ref <output_folder>/train_log.txt
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streaming_asr/chunk_streaming_word_fastemit.yaml
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@@ -21,9 +21,9 @@ pretrain_source: speechbrain/asr-streaming-conformer-librispeech
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pretrain_folder: results/conformer_transducer_char/3419_fastemit/pretrained
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# Data files
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data_folder: /
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emilia_data_folder: /
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emilia_train_csv: /
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# CSV files (LibriSpeech, pre-existing from 3409 save)
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train_csv:
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pretrain_folder: results/conformer_transducer_char/3419_fastemit/pretrained
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# Data files
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data_folder: /home/datasets/LibriSpeech
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emilia_data_folder: /home/datasets/Emilia-Dataset/Emilia/EN
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emilia_train_csv: /home/datasets/Emilia/emilia_en_400h.csv
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# CSV files (LibriSpeech, pre-existing from 3409 save)
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train_csv:
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