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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@@ -31,7 +31,7 @@ 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).
 The code will automatically normalize your audio (i.e., resampling + mono channel selection) when calling *decode_file* if needed. Make sure your input tensor is compliant with the expected sampling rate if you use *encode_batch* and *decode_batch*.

 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).
 The code will automatically normalize your audio (i.e., resampling + mono channel selection) when calling *decode_file* if needed. Make sure your input tensor is compliant with the expected sampling rate if you use *encode_batch* and *decode_batch*.