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EBranchRegulaFormer-medium

Automatic Speech Recognition

joint_aed_ctc_speech-encoder-decoder

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Lakoc commited on Jan 22

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@@ -81,7 +81,7 @@ It achieves Word Error Rates (WERs) comparable to `openai/whisper-medium.en` acr
 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; joint CTC decoding will be incorporated soon to resolve this issue.*
 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 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.