This notebook implements the Transducer sequence-to-sequence model from scratch in PyTorch, including the loss function, the greedy search algorithm, and a complete example of training the model on a sequence transduction task.
See the corresponding blog post here.
If you found this tutorial helpful and would like to cite it, you can use the following BibTeX entry:
@misc{
lugosch_2020,
title={Sequence-to-sequence learning with Transducers},
url={https://lorenlugosch.github.io/posts/2020/11/transducer/},
author={Lugosch, Loren},
year={2020},
month={Nov}
}