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Add TUNet

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# 🌟 New model addition

The TUNet model for audio superresolution

## Model description

[TUNet: A Block-online Bandwidth Extension Model based on Transformers and Self-supervised Pretraining](https://arxiv.org/abs/2110.13492v3) is a paper by Viet-Anh Nguyen, Anh H. T. Nguyen, and Andy W. H. Khong, introducing a model for audio superresolution based on transformers.

Audio superresolution allows for the upsampling of audio with minimal loss of quality. This is very useful for ASR tasks that require audio to be resampled during preprocessing, which has a big impact on transcriptions depending on the native sample rate.

## Open source status

* [x] the model implementation is available: [The official repo](https://github.com/NXTProduct/TUNet)
* [x] the model weights are available: [ONNX weights](https://github.com/NXTProduct/TUNet/tree/master/lightning_logs)
* [x] who are the authors: Viet-Anh Nguyen, Anh H. T. Nguyen, and Andy W. H. Khong
