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986953d3
编写于
6月 29, 2022
作者:
J
Jackwaterveg
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6月 29, 2022
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@@ -10,7 +10,7 @@ Acoustic Model | Training Data | Token-based | Size | Descriptions | CER | WER |
[
Ds2 Offline Aishell ASR0 Model
](
https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_offline_aishell_ckpt_1.0.1.model.tar.gz
)
| Aishell Dataset | Char-based | 1.4 GB | 2 Conv + 5 bidirectional LSTM layers| 0.0554 |-| 151 h |
[
Ds2 Offline Aishell ASR0
](
../../examples/aishell/asr0
)
| inference/python |
[
Conformer Online Wenetspeech ASR1 Model
](
https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr1/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz
)
| WenetSpeech Dataset | Char-based | 457 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring| 0.11 (test
\_
net) 0.1879 (test
\_
meeting) |-| 10000 h |- | python |
[
Conformer Online Aishell ASR1 Model
](
https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_chunk_conformer_aishell_ckpt_0.2.0.model.tar.gz
)
| Aishell Dataset | Char-based | 189 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring| 0.0544 |-| 151 h |
[
Conformer Online Aishell ASR1
](
../../examples/aishell/asr1
)
| python |
[
Conformer Offline Aishell ASR1 Model
](
https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_conformer_aishell_ckpt_
0.1.2.model.tar.gz
)
| Aishell Dataset | Char-based | 189 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring | 0.0464
|-| 151 h |
[
Conformer Offline Aishell ASR1
](
../../examples/aishell/asr1
)
| python |
[
Conformer Offline Aishell ASR1 Model
](
https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_conformer_aishell_ckpt_
1.0.1.model.tar.gz
)
| Aishell Dataset | Char-based | 189 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring | 0.0460
|-| 151 h |
[
Conformer Offline Aishell ASR1
](
../../examples/aishell/asr1
)
| python |
[
Transformer Aishell ASR1 Model
](
https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_transformer_aishell_ckpt_0.1.1.model.tar.gz
)
| Aishell Dataset | Char-based | 128 MB | Encoder:Transformer, Decoder:Transformer, Decoding method: Attention rescoring | 0.0523 || 151 h |
[
Transformer Aishell ASR1
](
../../examples/aishell/asr1
)
| python |
[
Ds2 Offline Librispeech ASR0 Model
](
https://paddlespeech.bj.bcebos.com/s2t/librispeech/asr0/asr0_deepspeech2_offline_librispeech_ckpt_1.0.1.model.tar.gz
)
| Librispeech Dataset | Char-based | 1.3 GB | 2 Conv + 5 bidirectional LSTM layers| - |0.0467| 960 h |
[
Ds2 Offline Librispeech ASR0
](
../../examples/librispeech/asr0
)
| inference/python |
[
Conformer Librispeech ASR1 Model
](
https://paddlespeech.bj.bcebos.com/s2t/librispeech/asr1/asr1_conformer_librispeech_ckpt_0.1.1.model.tar.gz
)
| Librispeech Dataset | subword-based | 191 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring |-| 0.0338 | 960 h |
[
Conformer Librispeech ASR1
](
../../examples/librispeech/asr1
)
| python |
...
...
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