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esc-bench
/
wav2vec2-ctc-ami

Automatic Speech Recognition
Transformers
JAX
English
wav2vec2
esb
Model card Files
xet
Community
Sanchit Gandhi commited on
Commit
f7a0432
·
1 Parent(s): 5f45041

Correct scripts

Browse files
Files changed (3) hide show
  1. README.md +5 -4
  2. get_ctc_tokenizer.py +1 -1
  3. run_ami.sh +2 -2
README.md CHANGED
@@ -2,18 +2,19 @@
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  language:
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  - en
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  tags:
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- - esc
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  datasets:
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- - ami
 
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  ---
9
 
10
  To reproduce this run, first call `get_ctc_tokenizer.py` to train the CTC tokenizer and then execute the following command to train the CTC system:
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  ```python
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  #!/usr/bin/env bash
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  python run_flax_speech_recognition_ctc.py \
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- --model_name_or_path="esc-benchmark/wav2vec2-ctc-pretrained" \
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  --tokenizer_name="wav2vec2-ctc-ami-tokenizer" \
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- --dataset_name="esc-benchmark/esc-datasets" \
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  --dataset_config_name="ami" \
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  --output_dir="./" \
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  --wandb_project="wav2vec2-ctc" \
 
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  language:
3
  - en
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  tags:
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+ - esb
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  datasets:
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+ - esb/datasets
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+ - edinburghcstr/ami
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  ---
10
 
11
  To reproduce this run, first call `get_ctc_tokenizer.py` to train the CTC tokenizer and then execute the following command to train the CTC system:
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  ```python
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  #!/usr/bin/env bash
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  python run_flax_speech_recognition_ctc.py \
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+ --model_name_or_path="esb/wav2vec2-ctc-pretrained" \
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  --tokenizer_name="wav2vec2-ctc-ami-tokenizer" \
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+ --dataset_name="esb/datasets" \
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  --dataset_config_name="ami" \
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  --output_dir="./" \
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  --wandb_project="wav2vec2-ctc" \
get_ctc_tokenizer.py CHANGED
@@ -19,7 +19,7 @@ tokenizer_name = f"wav2vec2-ctc-{dataset_name}-tokenizer"
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  cutoff_freq = 0.01
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  dataset = load_dataset(
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- "esc-benchmark/esc-datasets",
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  dataset_name,
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  split=split,
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  use_auth_token=use_auth_token,
 
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  cutoff_freq = 0.01
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  dataset = load_dataset(
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+ "esb/datasets",
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  dataset_name,
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  split=split,
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  use_auth_token=use_auth_token,
run_ami.sh CHANGED
@@ -1,8 +1,8 @@
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  #!/usr/bin/env bash
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  python run_flax_speech_recognition_ctc.py \
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- --model_name_or_path="esc-benchmark/wav2vec2-ctc-pretrained" \
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  --tokenizer_name="wav2vec2-ctc-ami-tokenizer" \
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- --dataset_name="esc-benchmark/esc-datasets" \
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  --dataset_config_name="ami" \
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  --output_dir="./" \
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  --wandb_project="wav2vec2-ctc" \
 
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  #!/usr/bin/env bash
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  python run_flax_speech_recognition_ctc.py \
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+ --model_name_or_path="esb/wav2vec2-ctc-pretrained" \
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  --tokenizer_name="wav2vec2-ctc-ami-tokenizer" \
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+ --dataset_name="esb/datasets" \
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  --dataset_config_name="ami" \
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  --output_dir="./" \
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  --wandb_project="wav2vec2-ctc" \