English(EN) Raon-Speech Technical Report

Raon-Speech 发布 90 亿参数模型，用于语音理解与生成

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-26 04:00

研究人员推出了 Raon-Speech，一个拥有 90 亿参数的语音语言模型，能够理解、回答和生成英语和韩语的语音。该模型在超过 138 万小时的精选语音和文本数据上进行训练，在以语音为中心的任务上表现优于同等规模的音频基础模型，同时保持了强大的文本问答能力。一个名为 Raon-SpeechChat 的扩展通过额外的对话数据训练，进一步增强了实时全双工对话能力，在轮次转换和中断敏感性方面表现出色。 AI

影响这款新的语音语言模型为语音理解和生成树立了新的标杆，有望改善人机交互和实时对话式 AI。

排序理由该集群包含一篇关于新型语音语言模型的 arXiv 论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇关于新型语音语言模型的 arXiv 论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: model release, paper; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 93 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Beomsoo Kim, Changho Choi, Dohyun Kim, Dongki Lee, Ethan Ewer, Eunchong Kim, Gyeongman Kim, Haechan Kim, Hyeonghwan Kim, Inkyu Park, Jihun Yun, Jihwan Moon, Jiyun Kim, Joonghyun Bae, Junhyuck Kim, Minkyu Kim, Sehun Lee, Seungjun Chung, Sungwoo Cho, Dongm… · 2026-05-26 04:00

Raon-Speech 技术报告

arXiv:2605.23912v1 Announce Type: cross Abstract: We present Raon-Speech, a top-performing 9B-parameter speech language model (SpeechLM) for English and Korean speech understanding, answering, and generation, and Raon-SpeechChat, a high-performing full-duplex extension for natura…

本文如何被排名

报道来源 [1]

Raon-Speech 技术报告

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