README.md

metadata

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

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)