Update README.md

README.md

@@ -31,7 +31,7 @@ import soundfile as sf
 
 synthesiser = pipeline("text-to-speech", "MBZUAI/speecht5_tts_clartts_ar")
 
-embeddings_dataset = load_dataset("herwoww/arabic_xvect_embeddings", split="validation")
+embeddings_dataset = load_dataset("herwoww/arabic_xvector_embeddings", split="validation")
 speaker_embedding = torch.tensor(embeddings_dataset[105]["speaker_embeddings"]).unsqueeze(0)
 # You can replace this embedding with your own as well.
 
@@ -56,7 +56,7 @@ vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")
 inputs = processor(text="لأنه لا يرى أنه على السفه ثم من بعد ذلك حديث منتشر", return_tensors="pt")
 
 # load xvector containing speaker's voice characteristics from a dataset
-embeddings_dataset = load_dataset("herwoww/arabic_xvect_embeddings", split="validation")
+embeddings_dataset = load_dataset("herwoww/arabic_xvector_embeddings", split="validation")
 speaker_embedding = torch.tensor(embeddings_dataset[105]["speaker_embeddings"]).unsqueeze(0)
 
 speech = model.generate_speech(inputs["input_ids"], speaker_embeddings, vocoder=vocoder)