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English(EN) Build real-time voice applications with Amazon SageMaker AI and vLLM

SageMaker AI 和 vLLM 赋能实时语音应用

Amazon SageMaker AI 现在支持双向流式传输,实现了客户端和模型容器之间的实时双向通信。此功能结合 vLLM 的 Realtime API,可实现连续音频流式传输和同步转录。通过部署 Mistral AIVoxtral-Mini-4B-Realtime-2602 模型以实现高效的语音到文本应用程序,展示了此次集成。 AI

影响 通过降低延迟和简化基础设施,增强了实时语音应用程序的开发。

排序理由 现有 AI 平台的产品更新。

在 AWS Machine Learning Blog 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

SageMaker AI 和 vLLM 赋能实时语音应用

报道来源 [2]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Christian Kamwangala ·

    Build real-time voice applications with Amazon SageMaker AI and vLLM

    Voice agents, live captioning, contact center analytics, and accessibility tools all depend on real-time speech-to-text, where your application streams audio in and receives transcription back simultaneously over a single persistent connection. Traditional request-response infere…

  2. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    🤖 Build real-time voice applications with Amazon SageMaker AI and vLLM Voice agents, live captioning, contact center analytics, and accessibility tools all depe

    🤖 Build real-time voice applications with Amazon SageMaker AI and vLLM Voice agents, live captioning, contact center analytics, and accessibility tools all depend on real-time speech-to-text, where your application streams audio in and receives transcription back simu... 📰 Source…