speechbrain
/

asr-wav2vec2-switchboard

Automatic Speech Recognition speechbrain PyTorch

English wav2vec2 CTC Attention

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dwgnr commited on Oct 6, 2022

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5f646b6

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1 Parent(s): ef5a714

add example

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README.md +2 -2
example.wav +0 -0

README.md CHANGED Viewed

@@ -29,7 +29,7 @@ The performance of the model is the following:
 | Release  | Swbd CER | Callhome CER | Eval2000 CER | Swbd WER | Callhome WER | Eval2000 WER | GPUs        |
 |:--------:|:--------:|:------------:|:------------:|:--------:|:------------:|:------------:|:-----------:|
-| 17-09-22 |  5.24   |  9.69       |   7.44         |  8.76   |  14.67       |     11.78    | 4xA100 40GB |
 ## Pipeline Description
@@ -57,7 +57,7 @@ Please notice that we encourage you to read our tutorials and learn more about
 from speechbrain.pretrained import EncoderASR
 asr_model = EncoderASR.from_hparams(source="speechbrain/asr-wav2vec2-switchboard", savedir="pretrained_models/asr-wav2vec2-switchboard")
-asr_model.transcribe_file('path/to/audiofile')
 ```

 | Release  | Swbd CER | Callhome CER | Eval2000 CER | Swbd WER | Callhome WER | Eval2000 WER | GPUs        |
 |:--------:|:--------:|:------------:|:------------:|:--------:|:------------:|:------------:|:-----------:|
+| 17-09-22 |  5.24   |  9.69       |   7.44      |  8 .76   |  14.67       |     11.78    | 4xA100 40GB |
 ## Pipeline Description
 from speechbrain.pretrained import EncoderASR
 asr_model = EncoderASR.from_hparams(source="speechbrain/asr-wav2vec2-switchboard", savedir="pretrained_models/asr-wav2vec2-switchboard")
+asr_model.transcribe_file('speechbrain/asr-wav2vec2-switchboard/example.wav')
 ```

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