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Update README.md
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README.md
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---
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language:
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thumbnail: null
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tags:
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- automatic-speech-recognition
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metrics:
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- name: Test WER
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type: wer
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value: '
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---
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<iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
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<br/><br/>
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# Transducer trained on CommonVoice 14.0
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This repository provides all the necessary tools to perform automatic speech
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recognition from an end-to-end system within
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SpeechBrain. For a better experience, we encourage you to learn more about
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| Release | Test CER | Test WER | GPUs |
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|:-------------:|:--------------:|:--------------:| :--------:|
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| 15.08.23 |
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## Credits
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The model is provided by [vitas.ai](https://www.vitas.ai/).
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Please notice that we encourage you to read our tutorials and learn more about
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[SpeechBrain](https://speechbrain.github.io).
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### Transcribing your own audio files (in
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```python
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from speechbrain.pretrained import EncoderDecoderASR
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asr_model = EncoderDecoderASR.from_hparams(source="speechbrain/speechbrain/asr-transducer-commonvoice-14-
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asr_model.transcribe_file("speechbrain/speechbrain/asr-transducer-commonvoice-14-
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```
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### Inference on GPU
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```
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cd recipes/CommonVoice/ASR/transducer
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python train.py hparams/
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```
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You can find our training results (models, logs, etc) [here](https://www.dropbox.com/sh/
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### Limitations
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---
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language:
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- de
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thumbnail: null
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tags:
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- automatic-speech-recognition
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metrics:
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- name: Test WER
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type: wer
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value: ' 15.25'
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---
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<iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
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<br/><br/>
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# Transducer trained on CommonVoice 14.0 German (No LM)
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This repository provides all the necessary tools to perform automatic speech
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recognition from an end-to-end system within
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SpeechBrain. For a better experience, we encourage you to learn more about
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| Release | Test CER | Test WER | GPUs |
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|:-------------:|:--------------:|:--------------:| :--------:|
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| 15.08.23 | 5.43 | 15.25 | 1xV100 32GB |
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## Credits
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The model is provided by [vitas.ai](https://www.vitas.ai/).
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Please notice that we encourage you to read our tutorials and learn more about
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[SpeechBrain](https://speechbrain.github.io).
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### Transcribing your own audio files (in German)
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```python
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from speechbrain.pretrained import EncoderDecoderASR
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asr_model = EncoderDecoderASR.from_hparams(source="speechbrain/speechbrain/asr-transducer-commonvoice-14-de", savedir="pretrained_models/speechbrain/asr-transducer-commonvoice-14-de")
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asr_model.transcribe_file("speechbrain/speechbrain/asr-transducer-commonvoice-14-de/example-de.wav")
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```
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### Inference on GPU
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```
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cd recipes/CommonVoice/ASR/transducer
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python train.py hparams/train_de.yaml --data_folder=your_data_folder
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```
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You can find our training results (models, logs, etc) [here](https://www.dropbox.com/sh/jfge6ixbtoje64t/AADeAgL5un0A8uEjPSM84ex8a?dl=0)
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### Limitations
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