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Summary:
In https://github.com/pytorch/audio/issues/2283, torchaudio's downloading function is updated to reduce code duplication. The links in `EMFORMER_RNNT_BASE_LIBRISPEECH` are updated, but the ones in prototype pipelines are not. This PR addresses it by updating the download links of `EMFORMER_RNNT_BASE_MUSTC` and `EMFORMER_RNNT_BASE_TEDLIUM3` in prototype. Corresponding integration tests are added as well.

Pull Request resolved: https://github.com/pytorch/audio/pull/2444

Reviewed By: mthrok

Differential Revision: D37389178

Pulled By: nateanl

fbshipit-source-id: 46598dd71c95be47d1e1b54cef89ea51d280e17a

Summary:
PyTorch Lite, which is becoming a standard for mobile PyTorch usage, does not support containers containing custom classes. Consequently, because TorchAudio's RNN-T decoder currently returns and accepts lists of `Hypothesis` namedtuples, it is not compatible with PyTorch Lite. This PR resolves said incompatibility by changing the underlying implementation of `Hypothesis` to tuple.

Pull Request resolved: https://github.com/pytorch/audio/pull/2339

Reviewed By: nateanl

Differential Revision: D35806529

Pulled By: hwangjeff

fbshipit-source-id: 9cbae5504722390511d35e7f9966af2519ccede5

Summary:
Moves ASR features out of `torchaudio.prototype`. Specifically, merges contents of `torchaudio.prototype.models` into `torchaudio.models` and contents of `torchaudio.prototype.pipelines` into `torchaudio.pipelines` and updates refs, tests, and docs accordingly.

Pull Request resolved: https://github.com/pytorch/audio/pull/2187

Reviewed By: nateanl, mthrok

Differential Revision: D33918092

Pulled By: hwangjeff

fbshipit-source-id: f003f289a7e5d7d43f85b7c270b58bdf2ed6344c

Summary:
Adds integration test for pretrained ASR pipeline `EMFORMER_RNNT_BASE_LIBRISPEECH`.

Pull Request resolved: https://github.com/pytorch/audio/pull/2172

Reviewed By: carolineechen, nateanl

Differential Revision: D33793324

Pulled By: hwangjeff

fbshipit-source-id: d0613e2ab98fe5afa7b16ca39b67f0a0304d13fc