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@@ -38,10 +38,6 @@ The [PyTorch demo app](https://github.com/pytorch/android-demo-app/tree/master/P
 
 [Vision Transformer](https://github.com/pytorch/android-demo-app/tree/master/ViT4MNIST) demonstrates how to use Facebook's latest Vision Transformer [DeiT](https://github.com/facebookresearch/deit) model to do image classification, and how convert another Vision Transformer model and use it in an Android app to perform handwritten digit recognition.
 
-### Speech recognition
-
-[Speech Recognition](https://github.com/pytorch/android-demo-app/tree/master/SpeechRecognition) demonstrates how to convert Facebook AI's wav2vec 2.0, one of the leading models in speech recognition, to TorchScript and how to use the scripted model in an Android app to perform speech recognition.
-
 ### Video Classification
 
 [TorchVideo](https://github.com/pytorch/android-demo-app/tree/master/TorchVideo) demonstrates how to use a pre-trained video classification model, available at the newly released [PyTorchVideo](https://github.com/facebookresearch/pytorchvideo), on Android to see video classification results, updated per second while the video plays, on tested videos, videos from the Photos library, or even real-time videos.