| | --- |
| | license: apache-2.0 |
| | datasets: |
| | - librispeech_asr |
| | language: |
| | - en |
| | metrics: |
| | - wer |
| | pipeline_tag: automatic-speech-recognition |
| | tags: |
| | - asr |
| | - rescoring |
| | - rnn-t |
| | - gpt2 |
| | - nemo |
| | - lstm |
| | - kenlm |
| | --- |
| | |
| | The data is used in project https://github.com/Alexander92-cpu/LanguageModel_Fusion |
| | |
| | Data desciption: |
| | |
| | - 'asr/stt_en_conformer_transducer_small.nemo' - NeMo ASR pre-trained RNN-T model (https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_en_conformer_transducer_small); |
| | |
| | - 'gpt2' - fine-tuned GPT-2 LM model for rescoring (https://huggingface.co/docs/transformers/model_doc/gpt2#transformers.GPT2LMHeadModel); |
| |
|
| | - 'kenlm/4_ngram_output.bin' - 4-gram language model; |
| |
|
| | - 'lstm' - trained from scratch word-level LSTM LM model and the corresponding tokenizer; |
| |
|
| | - 'text' - contains text data used for training, validation, and testing. |
| |
|
