亚马逊近日宣布，其人工智能研究团队成功开发出史上最大的文本转语音模型，名为“可扩展流式文本转语音模型”（BASE TTS）。该模型参数数量高达9.8亿个，使用了10万小时的录音数据进行训练，从而展现出强大的“涌现能力”。
据IT之家报道，这一研究成果已发表在arXiv预印本服务器上。论文中详细阐述了模型的开发和训练过程，以及其在语音合成领域的应用前景。据了解，BASE TTS模型采用了大量的英语语音数据，这使得它在语音合成方面具有较高的准确性和自然度。
研究人员表示，这一模型的开发标志着文本转语音技术的一次重大突破。传统的文本转语音模型通常参数较少，合成的语音效果较为生硬。而BASE TTS模型通过庞大的参数规模和训练数据，实现了更为精细的语音合成，使得语音输出更加流畅、自然。
此外，BASE TTS模型还具有较高的可扩展性。研究人员表示，通过调整模型参数和训练数据，可以轻松地将该模型应用于不同语言和方言的语音合成。这为人工智能在多语言交流领域的应用提供了巨大潜力。
此次亚马逊开发的BASE TTS模型，不仅在技术层面取得了突破，同时也为文本转语音技术的应用带来了更多可能性。未来，这一技术有望在智能客服、语音助手、教育培训等多个领域发挥重要作用。
然而，也有专家指出，虽然BASE TTS模型在语音合成方面具有显著优势，但仍需在实际应用中不断优化和完善。例如，模型在处理复杂句子和特定场景时的表现仍有待提高。此外，如何确保语音合成技术的公平性和伦理性，也是未来研究的重要方向。
总之，亚马逊此次开发的BASE TTS模型，为文本转语音技术的发展注入了新的活力。在人工智能技术的不断推动下，我们有理由相信，未来的语音合成技术将更加智能、高效，为人类生活带来更多便利。
英语如下：
# Amazon Unveils the Largest-Ever Text-to-Speech Model: BASE TTS
**Keywords:** Amazon, Text-to-Speech, Model Innovation.
Amazon recently announced that its artificial intelligence research team has successfully developed the largest text-to-speech model in history, known as “BASE TTS” (Extensible Streaming Text-to-Speech). This model boasts a staggering 980 million parameters, trained on 100,000 hours of recording data, demonstrating its powerful “emergent” capabilities.
According to IT Home, this research achievement has been published on the arXiv preprint server. The paper details the development and training process of the model, as well as its application prospects in the field of speech synthesis. It is understood that the BASE TTS model uses a large amount of English speech data, which gives it high accuracy and naturalness in speech synthesis.
Researchers stated that the development of this model represents a significant breakthrough in text-to-speech technology. Traditional text-to-speech models typically have fewer parameters and produce more mechanical speech outputs. However, the BASE TTS model achieves more refined speech synthesis through its massive parameter size and training data, resulting in output that is smoother and more natural.
Furthermore, the BASE TTS model boasts high scalability. Researchers mentioned that by adjusting the model parameters and training data, the model can be easily applied to speech synthesis for different languages and dialects, presenting great potential for artificial intelligence in multilingual communication.
The BASE TTS model developed by Amazon not only achieves a breakthrough in technology but also brings more possibilities to text-to-speech applications. In the future, this technology is expected to play an important role in areas such as intelligent customer service, voice assistants, and educational training.
However, experts also pointed out that while the BASE TTS model has significant advantages in speech synthesis, it still needs to be optimized and improved in practical applications. For instance, the model’s performance in handling complex sentences and specific scenarios needs to be enhanced. Additionally, ensuring the fairness and ethics of speech synthesis technology is an important direction for future research.
In summary, Amazon’s BASE TTS model has injected new vitality into the development of text-to-speech technology. With the continuous advancement of artificial intelligence technology, there is reason to believe that future speech synthesis technologies will be smarter and more efficient, bringing greater convenience to human life.
【来源】https://www.ithome.com/0/750/680.htm
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