---
type: "News"
locale: "zh-HK"
url: "https://longbridge.com/zh-HK/news/257017319.md"
description: "Xiaomi Corporation's AI Lab has released the ZipVoice series of voice synthesis models based on the Flow Matching architecture, including ZipVoice and ZipVoice-Dialog. ZipVoice aims to address the issues of large parameter sizes and slow synthesis speeds in existing zero-shot voice synthesis models, while ZipVoice-Dialog is optimized for the stability and inference speed bottlenecks of dialogue voice synthesis models"
datetime: "2025-09-12T02:22:21.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/257017319.md)
  - [en](https://longbridge.com/en/news/257017319.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/257017319.md)
---

> 支持的語言: [简体中文](https://longbridge.com/zh-CN/news/257017319.md) | [English](https://longbridge.com/en/news/257017319.md)


# 

On September 12th, according to Xiaomi Technology news, the new generation Kaldi team of Xiaomi Group's AI Lab has released the ZipVoice series of text-to-speech (TTS) models based on the Flow Matching architecture—ZipVoice (zero-shot single-speaker voice synthesis model) and ZipVoice-Dialog (zero-shot dialogue voice synthesis model). ZipVoice addresses the pain points of existing zero-shot voice synthesis models, such as large parameter sizes and slow synthesis speeds, while ZipVoice-Dialog resolves the bottlenecks in stability and inference speed of existing dialogue voice synthesis models

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- [Xiaomi Corporation (XIACY.US)](https://longbridge.com/zh-HK/quote/XIACY.US.md)
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