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63bf304d
编写于
5月 06, 2022
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@@ -6,8 +6,8 @@
### Speech Recognition Model
Acoustic Model | Training Data | Token-based | Size | Descriptions | CER | WER | Hours of speech | Example Link
:-------------:| :------------:| :-----: | -----: | :-----: |:-----:| :-----: | :-----: | :-----:
[
Ds2 Online Wenetspeech ASR0 Model
](
https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr0/asr0_deepspeech2_online_wenetspeech_ckpt_1.0.0a.model.tar.gz
)
| Wenetspeech Dataset | Char-based | 1.2 GB | 2 Conv + 5 LSTM layers
with only forward direction | 0.152 (test
\_
net, without LM), 0.053 (aishell, with
LM) |-| 10000 h |-
[
Ds2 Online Aishell ASR0 Model
](
https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_online_aishell_fbank161_ckpt_0.2.1.model.tar.gz
)
| Aishell Dataset | Char-based | 491 MB | 2 Conv + 5 LSTM layers
with only forward direction
| 0.0666 |-| 151 h |
[
D2 Online Aishell ASR0
](
../../examples/aishell/asr0
)
[
Ds2 Online Wenetspeech ASR0 Model
](
https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr0/asr0_deepspeech2_online_wenetspeech_ckpt_1.0.0a.model.tar.gz
)
| Wenetspeech Dataset | Char-based | 1.2 GB | 2 Conv + 5 LSTM layers
| 0.152 (test
\_
net, w/o LM), 0.053 (aishell, w/
LM) |-| 10000 h |-
[
Ds2 Online Aishell ASR0 Model
](
https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_online_aishell_fbank161_ckpt_0.2.1.model.tar.gz
)
| Aishell Dataset | Char-based | 491 MB | 2 Conv + 5 LSTM layers | 0.0666 |-| 151 h |
[
D2 Online Aishell ASR0
](
../../examples/aishell/asr0
)
[
Ds2 Offline Aishell ASR0 Model
](
https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_aishell_ckpt_0.1.1.model.tar.gz
)
| Aishell Dataset | Char-based | 306 MB | 2 Conv + 3 bidirectional GRU layers| 0.064 |-| 151 h |
[
Ds2 Offline Aishell ASR0
](
../../examples/aishell/asr0
)
[
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) |-| 10000 h |-
[
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
)
...
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