speechbrain
/

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

Spoken language understanding

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Mirco commited on Jun 25, 2022

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@@ -30,7 +30,7 @@ You can try the model on the `example_fsc.wav` file included here as follows:
 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).

 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).