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---
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
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