speechbrain
/

slu-direct-fluent-speech-commands-librispeech-asr

Spoken language understanding

Model card Files Files and versions Community

Mirco commited on Jun 25, 2022

Commit

f97ae55

•

1 Parent(s): db48774

Update README.md

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -28,9 +28,9 @@ You can try the model on the `example_fsc.wav` file included here as follows:
 ```python
 from speechbrain.pretrained import EndToEndSLU
-slu = EndToEndSLU.from_hparams("/network/tmp1/ravanelm/slu-direct-fluent-speech-commands-librispeech-asr")
 # Text: "Please, turn on the light of the bedroom"
-slu.decode_file("/network/tmp1/ravanelm/slu-direct-fluent-speech-commands-librispeech-asr/example_fsc.wav")
 #>>> '{"action:" "activate"| "object": "lights"| "location": "bedroom"}'
 ```
 The system is trained with recordings sampled at 16kHz (single channel).

 ```python
 from speechbrain.pretrained import EndToEndSLU
+slu = EndToEndSLU.from_hparams("speechbrain/slu-direct-fluent-speech-commands-librispeech-asr")
 # Text: "Please, turn on the light of the bedroom"
+slu.decode_file("speechbrain//slu-direct-fluent-speech-commands-librispeech-asr/example_fsc.wav")
 #>>> '{"action:" "activate"| "object": "lights"| "location": "bedroom"}'
 ```
 The system is trained with recordings sampled at 16kHz (single channel).