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README.md
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The list of the available models in this collection is shown in the following table. Performances of the ASR models are reported in terms of Word Error Rate (WER%) with greedy decoding.
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| Version | Tokenizer | Vocabulary Size | MCV 11.0 Dev | MCV 11.0 Test | MLS Dev | MLS Test | VoxPopuli Dev | VoxPopuli Test | Train Dataset
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| 1.13.0 | SentencePiece Unigram | 1024 | 4.80 | 5.24 | 14.62 | 12.18 | 12.00 | 15.15 | NeMo ASRSET 2.0 |
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## Limitations
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Since this model was trained on publicly available speech datasets, the performance of this model might degrade for speech which includes technical terms, or vernacular that the model has not been trained on. The model might also perform worse for accented speech.
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The list of the available models in this collection is shown in the following table. Performances of the ASR models are reported in terms of Word Error Rate (WER%) with greedy decoding.
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| Version | Tokenizer | Vocabulary Size | MCV 11.0 Dev | MCV 11.0 Test | MLS Dev | MLS Test | VoxPopuli Dev | VoxPopuli Test | Train Dataset |
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|---------|-----------------------|-----------------|--------------|---------------|---------|----------|---------------|----------------|--------------------|
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| 1.13.0 | SentencePiece Unigram | 1024 | 4.80 | 5.24 | 14.62 | 12.18 | 12.00 | 15.15 | NeMo ASRSET It 2.0 |
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## Limitations
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Since this model was trained on publicly available speech datasets, the performance of this model might degrade for speech which includes technical terms, or vernacular that the model has not been trained on. The model might also perform worse for accented speech.
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