AWS Machine Learning Blog · Nolan Chen · 4 小时前模型评分52
如何在 AWS 上构建超低延迟语音 人工智能（AI，Artificial Intelligence） 应用
Building ultra-low-latency voice AI applications on AWS
导读
AWS 官方博客介绍 Cartesia 如何用状态空间模型（SSM，State Space Model）在 AWS 上实现首字节延迟低于 100 毫秒的语音合成与转写。
分类置信度
高
- 官方或准官方来源，且无冲突类别。
- 正文、可信日期、主分类和证据摘录完整。
来源级别：官方一手
事件类型：分析与教程
证据摘录
- “This post introduces how Cartesia , an AWS Partner specializing in real-time voice AI, uses purpose-built State Space Models (SSMs) and AWS infrastructure to deliver sub-100ms text-to-speech and speech-to-text at global scale.”
- “Inference data doesn’t leave your account.”
- “Ink is currently available through the Cartesia API, which you can purchase through the Cartesia Voice AI Platform listing in AWS Marketplace.”
- “The subscription grants your AWS account access to the model package. It doesn’t deploy resources.”
- “Try the Cartesia API: Get started with the Cartesia get-started guide . No infrastructure setup required.”
来源：AWS Machine Learning Blog · aws.amazon.com