Datasets:

PeacefulData
/

Robust-HyPoradise

Tasks:

Text Generation

Languages:

Size:

Tags:

generative error correction

large language model

License:

Dataset card Files Files and versions Community

yuchen005 commited on May 17

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@@ -33,7 +33,7 @@ Here are the available speech data: [CHiME-4](https://entuedu-my.sharepoint.com/
 [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 to remove it before running ***add_speech_feats_to_train_data.py***:
 - Modified the [whisper 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)`

 [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 fixed input length of 30s that is too long. Please do the follwing step to remove it before running ***add_speech_feats_to_train_data.py***:
 - Modified the [whisper 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)`