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code-switch

Detailed documentations can be found at /docs

Setup

  1. Install external dependencies if your system do no have them.
  2. Create a conda environment and activate it
  3. Install python 3.11 in your conda environment.
  4. Run make

External dependencies:

  • libboost

Run linters

Run make lint

Run formatters

Run make lint-format

Results:

Model Name Test Dataset Name WER CER
Nemo stt_enes_conformer_transducer_large_codesw beam width 16 Miami eng herring1 87.77%
Nemo stt_enes_conformer_transducer_large_codesw beam width 16 + RedPajamaV2 KenLM Bark TTS Synthetic 20240605 29.37% 16.71%
Nemo stt_enes_conformer_transducer_large_codesw beam width 16 + synthetic KenLM Bark TTS Synthetic 20240605 24.02% 14.04%
Nemo stt_enes_conformer_transducer_large_codesw beam width 16 + synthetic KenLM Commonvoice es en dev 15.65% 8.92%
Nemo stt_enes_conformer_transducer_large_codesw beam width 16 + redpajama KenLM Commonvoice es en dev 13.62% 7.65%
Nemo stt_enes_conformer_transducer_large_codesw beam width 16 + Commonvoice KenLM Commonvoice es en dev 13.62% 7.65%
Nemo stt_enes_conformer_transducer_large_codesw beam width 16 + synthetic 50k KenLM Bark TTS Synthetic 20240605 25.34% 14.76%
Nemo stt_enes_conformer_transducer_large_codesw beam width 16 Bark TTS Synthetic 20240619 29.78% 13.88%
Nemo stt_enes_conformer_transducer_large_codesw beam width 16 Commonvoice es en dev 12.38% 4.85%
Nemo stt_enes_conformer_transducer_large_codesw beam width 16 + synthetic 50k KenLM Bark TTS Synthetic 20240619 26.63% 17.09%
Nemo stt_enes_conformer_transducer_large_codesw beam width 16 + synthetic 50k KenLM Commonvoice es en dev 15.67 % 8.82%
Nemo stt_enes_conformer_transducer_large_codesw beam width 16 + commonvoice lm mix synthetic 50k KenLM Bark TTS Synthetic 20240619 27.70% 18.06%
Nemo stt_enes_conformer_transducer_large_codesw beam width 16 + commonvoice lm mix synthetic 50k KenLM Commonvoice es en dev 14.28% 8.05%

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