SLPL
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SaraSadeghi commited on
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Update README.md

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  1. README.md +8 -8
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@@ -77,6 +77,14 @@ print(prediction[0])
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  ## Evaluation
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  For the evaluation use the code below:
 
 
 
 
 
 
 
 
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  ```python
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  import torch
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  import torchaudio
@@ -113,14 +121,6 @@ def predict(batch):
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  return batch
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  dataset = load_dataset("csv", data_files={"test":"path/to/your.csv"}, delimiter=",")["test"]
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- ```
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- *Input csv files format:*
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-
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- | path| reference|
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- |---|---|
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- | path to audio files | corresponding transcription|
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-
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- ```
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  dataset = dataset.map(speech_file_to_array_fn)
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  result = dataset.map(predict, batched=True, batch_size=4)
 
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  ## Evaluation
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  For the evaluation use the code below:
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+ ```
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+ *Input csv files format:*
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+
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+ | path| reference|
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+ |---|---|
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+ | path to audio files | corresponding transcription|
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+
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+ ```
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  ```python
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  import torch
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  import torchaudio
 
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  return batch
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  dataset = load_dataset("csv", data_files={"test":"path/to/your.csv"}, delimiter=",")["test"]
 
 
 
 
 
 
 
 
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  dataset = dataset.map(speech_file_to_array_fn)
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  result = dataset.map(predict, batched=True, batch_size=4)