microsoft
/

speecht5_tts

Inference Endpoints

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reach-vb HF staff commited on Oct 4, 2023

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@@ -71,7 +71,7 @@ embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validat
 speaker_embedding = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze(0)
 # You can replace this embedding with your own as well.
-speech = pipe("Hello, my dog is cooler than you!", forward_params={"speaker_embeddings": speaker_embedding})
 sf.write("speech.wav", speech["audio"], samplerate=speech["sampling_rate"])
 ```

 speaker_embedding = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze(0)
 # You can replace this embedding with your own as well.
+speech = synthesiser("Hello, my dog is cooler than you!", forward_params={"speaker_embeddings": speaker_embedding})
 sf.write("speech.wav", speech["audio"], samplerate=speech["sampling_rate"])
 ```