AuroraASR-1M Releases!

It's an extremely lightweight speech recognition model. 949K parameters using a weight-shared Conformer-CTC architecture Just 1.06 MB for INT8 weights Around 436× real-time on a single CPU thread 11.43% WER on LibriSpeech test-clean, using greedy decoding with no external language model Apache 2.0 licensed Any feedback, question or criticism is welcome!