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0556e9d6
编写于
11月 16, 2021
作者:
H
huangyuxin
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## Speech-To-Text Models
### Acoustic Model Released in paddle 2.X
Acoustic Model | Training Data | Token-based | Size | Descriptions | CER | WER | Hours of speech
:-------------:| :------------:| :-----: | -----: | :----------------- |:--------- | :---------- | :---------
[
Ds2 Online Aishell Model
](
https://deepspeech.bj.bcebos.com/release2.2/aishell/s0/ds2_online_aishll_CER8.02_release.tar.gz
)
| Aishell Dataset | Char-based | 345 MB | 2 Conv + 5 LSTM layers with only forward direction | 0.080218 |-| 151 h
[
Ds2 Offline Aishell Model
](
https://deepspeech.bj.bcebos.com/release2.1/aishell/s0/aishell.s0.ds2.offline.cer6p65.release.tar.gz
)
| Aishell Dataset | Char-based | 306 MB | 2 Conv + 3 bidirectional GRU layers| 0.065 |-| 151 h
[
Conformer Online Aishell Model
](
https://deepspeech.bj.bcebos.com/release2.1/aishell/s1/aishell.chunk.release.tar.gz
)
| Aishell Dataset | Char-based | 283 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention + CTC | 0.0594 |-| 151 h
[
Conformer Offline Aishell Model
](
https://deepspeech.bj.bcebos.com/release2.1/aishell/s1/aishell.release.tar.gz
)
| Aishell Dataset | Char-based | 284 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention | 0.0547 |-| 151 h
[
Conformer Librispeech Model
](
https://deepspeech.bj.bcebos.com/release2.1/librispeech/s1/conformer.release.tar.gz
)
| Librispeech Dataset | Word-based | 287 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention |-| 0.0325 | 960 h
[
Transformer Librispeech Model
](
https://deepspeech.bj.bcebos.com/release2.1/librispeech/s1/transformer.release.tar.gz
)
| Librispeech Dataset | Word-based | 195 MB | Encoder:Transformer, Decoder:Transformer, Decoding method: Attention |-| 0.0544 | 960 h
Acoustic Model | Training Data | Token-based | Size | Descriptions | CER | WER | Hours of speech | example link
:-------------:| :------------:| :-----: | -----: | :----------------- |:--------- | :---------- | :--------- | :-----------
[
Ds2 Online Aishell S0 Model
](
https://deepspeech.bj.bcebos.com/release2.2/aishell/s0/ds2_online_aishll_CER8.02_release.tar.gz
)
| Aishell Dataset | Char-based | 345 MB | 2 Conv + 5 LSTM layers with only forward direction | 0.080218 |-| 151 h |
[
D2 Online Aishell S0 Example
](
../../examples/aishell/s0
)
[
Ds2 Offline Aishell S0 Model
](
https://deepspeech.bj.bcebos.com/release2.1/aishell/s0/aishell.s0.ds2.offline.cer6p65.release.tar.gz
)
| Aishell Dataset | Char-based | 306 MB | 2 Conv + 3 bidirectional GRU layers| 0.065 |-| 151 h |
[
Ds2 Offline Aishell S0 Example
](
../../examples/aishell/s0
)
[
Conformer Online Aishell S1 Model
](
https://deepspeech.bj.bcebos.com/release2.1/aishell/s1/aishell.chunk.release.tar.gz
)
| Aishell Dataset | Char-based | 283 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring | 0.0594 |-| 151 h |
[
Conformer Online Aishell S1 Example
](
../../examples/aishell/s1
)
[
Conformer Offline Aishell S1 Model
](
https://deepspeech.bj.bcebos.com/release2.1/aishell/s1/aishell.release.tar.gz
)
| Aishell Dataset | Char-based | 284 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring | 0.0547 |-| 151 h |
[
Conformer Offline Aishell S1 Example
](
../../examples/aishell/s1
)
[
Conformer Librispeech S1 Model
](
https://deepspeech.bj.bcebos.com/release2.1/librispeech/s1/conformer.release.tar.gz
)
| Librispeech Dataset | subword-based | 287 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring |-| 0.0325 | 960 h |
[
Conformer Librispeech S1 example
](
../../example/librispeech/s1
)
[
Transformer Librispeech S1 Model
](
https://deepspeech.bj.bcebos.com/release2.2/librispeech/s1/librispeech.s1.transformer.all.wer5p62.release.tar.gz
)
| Librispeech Dataset | subword-based | 131 MB | Encoder:Transformer, Decoder:Transformer, Decoding method: Attention rescoring |-| 0.0456 | 960 h |
[
Transformer Librispeech S1 example
](
../../example/librispeech/s1
)
[
Transformer Librispeech S2 Model
](
https://deepspeech.bj.bcebos.com/release2.2/librispeech/s2/libri_transformer_espnet_wer3p84.release.tar.gz
)
| Librispeech Dataset | subword-based | 131 MB | Encoder:Transformer, Decoder:Transformer, Decoding method: Attention |-| 0.0384 | 960 h |
[
Transformer Librispeech S2 example
](
../../example/librispeech/s2
)
### Acoustic Model Transformed from paddle 1.8
Acoustic Model | Training Data | Token-based | Size | Descriptions | CER | WER | Hours of speech
...
...
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