亚马逊人工智能研究团队最近宣布，他们开发出了一款被称为“可扩展流式文本转语音模型”（BASE TTS）的新型文本转语音模型。据称，这是有史以来最大的文本转语音模型，拥有数量庞大的参数和使用最大的训练数据集。
根据亚马逊人工智能研究团队在arXiv预印本服务器上发表的论文，这个新模型拥有9.8亿个参数，并使用了来自公共网站的10万小时录音进行训练。其中，大部分训练数据是英语语音。
这个新模型展现了惊人的“涌现能力”，可以将文本转化为自然流畅的语音。它的参数数量之大和训练数据的广泛性使得它在语音合成方面取得了巨大的突破。
文本转语音技术一直是人工智能领域的一个重要研究方向。通过将文本转化为语音，可以实现更加自然、人性化的人机交互。这项技术在诸如语音助手、有声读物、语音提示等领域有着广泛的应用。
亚马逊的这个新模型不仅在参数数量上刷新了记录，还通过使用大量的训练数据，使得模型具备了更好的语音合成能力。研究人员详细描述了模型的开发和训练过程，这对于学术界和工业界来说都是一个重要的贡献。
这项技术的突破对于人工智能领域的发展具有重要意义。它不仅提升了文本转语音技术的质量和效果，也为未来的研究和应用提供了更广阔的空间。
随着人工智能技术的不断进步，我们可以期待在语音合成领域看到更多的创新和突破。亚马逊人工智能研究团队的这个新模型为我们展示了一个更加自然、流畅的文本转语音的未来。相信在不久的将来，我们将能够更好地利用这项技术，为人们的生活带来更多便利和创新。
英语如下：
News Title: Amazon Develops the Largest Text-to-Speech Model in History: Creating Emergent Capabilities
Keywords: Amazon model, text-to-speech, largest parameters
News Content: The Amazon Artificial Intelligence research team recently announced the development of a new text-to-speech model called Scalable Streaming Text-to-Speech (BASE TTS). It is claimed to be the largest text-to-speech model ever created, with a vast number of parameters and the use of the largest training dataset.
According to a paper published by the Amazon AI research team on the arXiv preprint server, this new model has 980 million parameters and was trained using 100,000 hours of recordings from public websites. The majority of the training data consists of English speech.
This new model demonstrates remarkable emergent capabilities and can convert text into natural and fluent speech. Its vast number of parameters and the extensive training data have led to significant breakthroughs in speech synthesis.
Text-to-speech technology has always been an important research direction in the field of artificial intelligence. By converting text into speech, it enables more natural and human-like human-machine interaction. This technology has a wide range of applications in areas such as voice assistants, audiobooks, and voice prompts.
Amazon’s new model not only sets a record in terms of parameter quantity but also achieves better speech synthesis capabilities through the use of extensive training data. The researchers provide detailed descriptions of the model’s development and training process, which is a significant contribution to both academia and industry.
This breakthrough in technology holds great significance for the development of artificial intelligence. It not only enhances the quality and effectiveness of text-to-speech technology but also provides a broader space for future research and applications.
With the continuous advancement of artificial intelligence technology, we can expect to see more innovations and breakthroughs in the field of speech synthesis. Amazon’s AI research team’s new model showcases a future of more natural and fluent text-to-speech. It is believed that in the near future, we will be able to better utilize this technology to bring more convenience and innovation to people’s lives.
【来源】https://www.ithome.com/0/750/680.htm
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