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2.6 KiB
2.6 KiB
Released Models
Acoustic Model Released
| Acoustic Model | Training Data | Token-based | Size | Descriptions | CER or WER | Hours of speech |
|---|---|---|---|---|---|---|
| Ds2 Online Aishell Model | Aishell Dataset | Char-based | 345 MB | 2 Conv + 5 LSTM layers with only forward direction | 0.0824 | 151 h |
| Ds2 Offline Aishell Model | Aishell Dataset | Char-based | 306 MB | 2 Conv + 3 bidirectional gru layers | 0.065 | 151 h |
| Conformer Online Aishell Model | Aishell Dataset | Char-based | 283 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention + CTC | 0.0594 | 151 h |
| Conformer Offline Aishell Model | Aishell Dataset | Char-based | 284 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention | 0.0547 | 151 h |
| Conformer Librispeech Model | Librispeech Dataset | Word-based | 287 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention | 0.0325 | 960 h |
| Transformer Librispeech Model | Librispeech Dataset | Word-based | 195 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention | 0.0544 | 960 h |
Language Model Released
| Language Model | Training Data | Token-based | Size | Descriptions |
|---|---|---|---|---|
| English LM | CommonCrawl(en.00) | Word-based | 8.3 GB | Pruned with 0 1 1 1 1; About 1.85 billion n-grams; 'trie' binary with '-a 22 -q 8 -b 8' |
| Mandarin LM Small | Baidu Internal Corpus | Char-based | 2.8 GB | Pruned with 0 1 2 4 4; About 0.13 billion n-grams; 'probing' binary with default settings |
| Mandarin LM Large | Baidu Internal Corpus | Char-based | 70.4 GB | No Pruning; About 3.7 billion n-grams; 'probing' binary with default settings |