Update Main.py
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Main.py
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# Following pip packages need to be installed:
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!pip install git+https://github.com/huggingface/transformers sentencepiece datasets
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from transformers import SpeechT5Processor, SpeechT5ForTextToSpeech, SpeechT5HifiGan
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from datasets import load_dataset
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import torch
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import soundfile as sf
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from datasets import load_dataset
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processor = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")
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model = SpeechT5ForTextToSpeech.from_pretrained("microsoft/speecht5_tts")
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vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")
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inputs = processor(text="Hello, all this is a text to speech converter. Just change the embeddings_dataset number to try out different voices.", return_tensors="pt")
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# load xvector containing speaker's voice characteristics from a dataset
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embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
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speaker_embeddings = torch.tensor(embeddings_dataset[5000]["xvector"]).unsqueeze(0)
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speech = model.generate_speech(inputs["input_ids"], speaker_embeddings, vocoder=vocoder)
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sf.write("speech.wav", speech.numpy(), samplerate=16000)
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from IPython.display import Audio
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Audio(speech, rate=16000)
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