VALL-E is a zero-shot text-to-speech (TTS) model implementation based on PyTorch.
VALL-E is a zero-shot text-to-speech system implemented based on PyTorch, allowing users to generate high-quality speech without specific speech data. The project provides an easy-to-use demonstration, suitable for researchers and developers to quickly prototype.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
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"datePublished": "2025-12-05T17:18:28.333052+00:00",
"dateModified": "2025-12-19T06:29:04.417487+00:00",
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"text": "Speech synthesis research, Rapid prototyping, Voice assistant development"
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"name": "What are the advantages of vall-e?",
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"text": "支持零样本生成, 高质量的语音输出, 开源且易于集成"
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"text": "需要强大的计算资源, 模型训练时间较长"
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