| --- |
| 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. |
|
|
| - 'optimize' - data and results of optimization experiments |
|
|
