Datasets:

PeacefulData
/

Robust-HyPoradise

Tasks:

Text Generation

Languages:

Size:

Tags:

generative error correction

large language model

License:

Dataset card Files Files and versions

yuchen005 commited on Apr 30, 2024

Commit

8c32a68

·

1 Parent(s): 9d20fda

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -32,7 +32,7 @@ You need to specify the raw speech path from utterance id in the script.
 Here are the available speech data: [CHiME-4](https://entuedu-my.sharepoint.com/:f:/g/personal/yuchen005_e_ntu_edu_sg/EuLgMQbjrIJHk7dKPkjcDMIB4SYgXKKP8VBxyiZk3qgdgA),
 [VB-DEMAND](https://datashare.ed.ac.uk/handle/10283/2791), [LS-FreeSound](https://github.com/archiki/Robust-E2E-ASR), [NOIZEUS](https://ecs.utdallas.edu/loizou/speech/noizeus/).
-IMPORTANT: The vast speech feature size mentioned above is because Whisper requires a fix input length of 30s. Please do the follwing step before running data generation:
 - Modified the [model code](https://github.com/openai/whisper/blob/main/whisper/model.py#L167) `x = (x + self.positional_embedding).to(x.dtype)` to be `x = (x + self.positional_embedding[:x.shape[1], :]).to(x.dtype)`
 UPDATE (Apr-29-2024): To support customization, We release the script `generate_robust_hp.py` for users to generate train/test data from their own ASR datasets.

 Here are the available speech data: [CHiME-4](https://entuedu-my.sharepoint.com/:f:/g/personal/yuchen005_e_ntu_edu_sg/EuLgMQbjrIJHk7dKPkjcDMIB4SYgXKKP8VBxyiZk3qgdgA),
 [VB-DEMAND](https://datashare.ed.ac.uk/handle/10283/2791), [LS-FreeSound](https://github.com/archiki/Robust-E2E-ASR), [NOIZEUS](https://ecs.utdallas.edu/loizou/speech/noizeus/).
+IMPORTANT: The vast speech feature size mentioned above is because Whisper requires a fix input length of 30s that is too long. Please do the follwing step before running data generation:
 - Modified the [model code](https://github.com/openai/whisper/blob/main/whisper/model.py#L167) `x = (x + self.positional_embedding).to(x.dtype)` to be `x = (x + self.positional_embedding[:x.shape[1], :]).to(x.dtype)`
 UPDATE (Apr-29-2024): To support customization, We release the script `generate_robust_hp.py` for users to generate train/test data from their own ASR datasets.