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DeCRED-base

Automatic Speech Recognition

joint_aed_ctc_speech-encoder-decoder

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Lakoc commited on Oct 21

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@@ -130,7 +130,7 @@ It achieves Word Error Rates (WERs) comparable to `openai/whisper-medium` across
 Architecture details, training hyperparameters, and a description of the proposed technique will be added soon.
-*Disclaimer: The model currently hallucinates on segments containing silence only, as it was previously not trained on such data. The fix will be added soon.*
 The model can be used with the [`pipeline`](https://huggingface.co/docs/transformers/main_classes/pipelines#transformers.AutomaticSpeechRecognitionPipeline)
 class to transcribe audio files of arbitrary length.

 Architecture details, training hyperparameters, and a description of the proposed technique will be added soon.
+*Disclaimer: The model currently produce insertions on utterances containing silence only, as it was previously not trained on such data. The fix will be added soon.*
 The model can be used with the [`pipeline`](https://huggingface.co/docs/transformers/main_classes/pipelines#transformers.AutomaticSpeechRecognitionPipeline)
 class to transcribe audio files of arbitrary length.