juanjucm
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whisper-small-GL-EN

Automatic Speech Recognition

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juanjucm commited on 21 days ago

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@@ -12,7 +12,7 @@ model-index:
   results: []
 datasets:
 - juanjucm/FLEURS-SpeechT-GL-EN
-- juanjucm/OpenSLR-SpeechT-GL-EN
 language:
 - gl
 ---
@@ -23,7 +23,7 @@ should probably proofread and complete it, then remove this comment. -->
 # whisper-small-GL-EN
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on [juanjucm/FLEURS-SpeechT-GL-EN](https://huggingface.co/datasets/juanjucm/FLEURS-SpeechT-GL-EN).
-The training dataset has been augmented using train split from [juanjucm/GoogleOSHQ-SpeechT-GL-EN](https://huggingface.co/datasets/juanjucm/GoogleOSHQ-SpeechT-GL-EN)
 It achieves the following results on the evaluation set (evaluated only on [juanjucm/FLEURS-SpeechT-GL-EN](https://huggingface.co/datasets/juanjucm/FLEURS-SpeechT-GL-EN)):
 - Loss: 1.6335

   results: []
 datasets:
 - juanjucm/FLEURS-SpeechT-GL-EN
+- juanjucm/OpenHQ-SpeechT-GL-EN
 language:
 - gl
 ---
 # whisper-small-GL-EN
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on [juanjucm/FLEURS-SpeechT-GL-EN](https://huggingface.co/datasets/juanjucm/FLEURS-SpeechT-GL-EN).
+The training dataset has been augmented using train split from [juanjucm/OpenHQ-SpeechT-GL-EN](https://huggingface.co/datasets/juanjucm/OpenHQ-SpeechT-GL-EN)
 It achieves the following results on the evaluation set (evaluated only on [juanjucm/FLEURS-SpeechT-GL-EN](https://huggingface.co/datasets/juanjucm/FLEURS-SpeechT-GL-EN)):
 - Loss: 1.6335