Create README.md

README.md

@@ -1,3 +1,40 @@
----
-license: apache-2.0
----
+---
+language:
+- en
+tags:
+- text-to-speech
+- tts
+- speech
+license: mit
+datasets:
+- Matthijs/cmu-arctic-xvectors
+---
+
+# SpeechT5 TTS
+
+This is a re-upload of the Microsoft/SpeechT5_TTS model.
+
+## Model description
+
+SpeechT5 is a unified-modal speech and text model developed by Microsoft. This specific model is fine-tuned for text-to-speech tasks.
+
+## Usage
+
+```python
+from transformers import SpeechT5Processor, SpeechT5ForTextToSpeech, SpeechT5HifiGan
+from datasets import load_dataset
+import torch
+import soundfile as sf
+
+processor = SpeechT5Processor.from_pretrained("YOUR_USERNAME/YOUR_REPO_NAME")
+model = SpeechT5ForTextToSpeech.from_pretrained("YOUR_USERNAME/YOUR_REPO_NAME")
+vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")
+
+inputs = processor(text="Hello, how are you?", return_tensors="pt")
+
+embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
+speaker_embeddings = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze(0)
+
+speech = model.generate_speech(inputs["input_ids"], speaker_embeddings, vocoder=vocoder)
+
+sf.write("speech.wav", speech.numpy(), samplerate=16000)