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README.md
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@@ -37,6 +37,13 @@ The training data was created using a unique method: concatenating two audio cli
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- **Sampling Rate:** 16,000 Hz
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- **Output Vocabulary:** A vocabulary of 3,200 unigram generated by sentencepiece, include 3 special tokens (`[雑音]`, `[無音]`, `[PAD]`).
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### Citation
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```
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@inproceedings{emoto2025development,
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- **Sampling Rate:** 16,000 Hz
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- **Output Vocabulary:** A vocabulary of 3,200 unigram generated by sentencepiece, include 3 special tokens (`[雑音]`, `[無音]`, `[PAD]`).
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## Evaluation Result (CER %)
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| | Clean | 50 dB | 20 dB | 15 dB | 10 dB | 5 dB | 0 dB |
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|:--- | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
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|JNAS | 10.61 | 10.57 | 10.16 | 10.10 | 10.43 | 11.64 | 15.95 |
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|ReazonSpeech| 12.54 | 12.51 | 12.69 | 12.83 | 13.43 | 14.81 | 19.87 |
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### Citation
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```
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@inproceedings{emoto2025development,
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