Design a logo for LibreASR and share it here.

To make an open source project cool, it should have a logo 😄

In many time series datasets, the sequences are of variable length. Now TSAI dataloader expects fixed length time sequences. The most natural solution is to transcribe each time sequence to the maximum length in our dataset and pad zeros (or -1 or any other token) in the extra positions. In vanilla PyTorch implementation of Transformer, there is an src_key_padding argument given to forward

Make use of the recent implemented parameter is_new that is passed to Parser.parse_fields

Functions like record.set_filepath, record.set_img_size, now only need to be called once, refer to this notebook for an example.

We need to update or default parsers to make use of this functionality:

• `coco