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English(EN) Fudan University's OpenMOSS team has benchmarked MOSS-Live, a full-duplex real-time voice system, against OpenAI's GPT-Live-1 and ByteDance's Doubao SeedDuplex.

复旦大学的MOSS-Live语音系统在基准测试中优于OpenAI和字节跳动

复旦大学OpenMOSS团队开发了MOSS-Live,一个实时全双工语音系统。在与OpenAI的GPT-Live-1和字节跳动的豆包SeedDuplex的基准测试中,MOSS-Live在六项全双工指标上据称表现更优,对无关语音的响应率显著降低。然而,在多轮任务上的表现不如其他模型。 AI

影响 这项研究表明实时全双工语音系统可能取得的进展,将影响更具响应性的AI助手和通信工具的开发。

排序理由 该集群描述了一个新语音系统与现有模型的基准测试,属于研究范畴。[lever_c_demoted from research: ic=1 ai=1.0]

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复旦大学的MOSS-Live语音系统在基准测试中优于OpenAI和字节跳动

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该集群描述了一个新语音系统与现有模型的基准测试,属于研究范畴。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

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

    复旦大学OpenMOSS团队已将MOSS-Live(全双工实时语音系统)与OpenAI的GPT-Live-1和字节跳动的豆包SeedDuplex进行了基准测试。

    Fudan University's OpenMOSS team has benchmarked MOSS-Live, a full-duplex real-time voice system, against OpenAI's GPT-Live-1 and ByteDance's Doubao SeedDuplex. It leads on all six reported full-duplex metrics, answering speech not aimed at it 2 per cent of the time against 68 pe…