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  "text": "支持离线大模型语音识别SOC方案。\n加我微信HAZX17可申请加入数字音频答义群课题组。\n提到的需求,即离线,接入专家模型,支持长短距识别,正是当前端侧AI芯片发展的核心方向。\n这已经不再是简单的关键词唤醒,而是要求芯片能在本地独立运行自动语音识别甚至大语言模型,从而理解并执行复杂的自然语言指令。\n实现这一目标的关键,在于芯片是否集成了强大的神经网络处理单元。\n以下是一些能够满足你需求的SOC芯片,模块级方案,刚性能SOC方案。\n这类芯片通常具备数T OPS的NPU算力,足以在本地运行参数规模,在0.5B到7B之间的大语言模型可现真正的专家模型识别。\n爱心原制AX630C,这是M5Stack Module LLM模块所采用的芯片,集成了3.2TUPS的NPU,并原生支持Transformer模型。\n它配备4GB LPDDR4内存,出厂及预装了QNR,0.5B大语言模型,内置了KWS,ASR,LLM及TTS功能。\n可以直接进行离线语音交互,非常适合开发智能语音助手或智能家居控制中心。\n锐行为2K3576,2K3588,这两款芯片带有6T OPS的NPU,能够支持端侧部署0.5B到3B参数级别的主流大语言模型。\n社区已有基于RK3576NPU实现的全离线智能语音交互系统项目,集成了流逝ASR,DeepSeq大模型推理和TTS门线,实现了语音输入,LLM思考语音输出的完整闭环。\n端到端响应在4米内,耐能Kaneuron KL1140。\n这款芯片宣称是首款能在边缘运行完整Transformer网络的NPU芯片,它专为实时自然语言处理。\n语音界面等应用设计,很新,通过多芯片协同工作,甚至可以运行高达1200亿参数的模型。\n海思HIGH3403\n海思的HIGH3403V100平台提供了一个本地对话智能体方案,在端侧部署了Mini CPM 4V0。\n5B模型实现了ASR,VOM和TTS的完整链路,无需联网即可实现多模态业务识别。\n芯芯威2K1820,2K1828M,2.算力卡。\n这是一款采用M.2接口的AI算力卡。\n搭载了20TOPS的NPU,可独立离线运行3B、7B级的大语言模型。\n金融QN、LMA等主流开源模型。\n为现有设备扩展端侧大模型能力提供了灵活的解决方案,中等算力与低功耗方案。\n这类方案可能在模型规模上有所限制,但依然能够实现比简单KWS复杂得多的语音识别和理解功能。\n瑞玉AmiroC\n瑞玉的AI Voice是一套纯离线的AI解决方案,包含声学信号处理、唤醒、端点检测和识别等模块。\n可以在Amibus Source上搭建复杂的语音语物。\n既可作为纯离线方案,也能实现离在线混合交互。\n支存科技WTM21,这款芯片的特点是超低功耗。\n在实现三百个词的连续识别时,不觉流年赎尽我白发受却。\n千又绕枝叶,醉酒化地面,千水此天又圆着人间。\n我鸟鸟一幅春山空,我老一掉入湖中。\n鸣尘双流所浓,醒来一场春梦。\n我这一生无心踪,我叹事千春千冲。\n谁疯狂的味道是谁在等候。\n二、全航功耗有信用。\n支存WTM211的芯片,在节级功耗上提供了两朝KMOS的试验。\n适合对续航有严苛而成为。\n三、我们考虑集成方式,一无声刺剑。\n不觉流年赎尽我白发就绝。\n千又绕枝叶,醉酒化地面,千又绕枝叶。",
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      "text": "提到的需求,即离线,接入专家模型,支持长短距识别,正是当前端侧AI芯片发展的核心方向。",
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      "text": "实现这一目标的关键,在于芯片是否集成了强大的神经网络处理单元。",
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      "text": "以下是一些能够满足你需求的SOC芯片,模块级方案,刚性能SOC方案。",
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      "text": "这类芯片通常具备数T OPS的NPU算力,足以在本地运行参数规模,在0.5B到7B之间的大语言模型可现真正的专家模型识别。",
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      "text": "爱心原制AX630C,这是M5Stack Module LLM模块所采用的芯片,集成了3.2TUPS的NPU,并原生支持Transformer模型。",
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      "text": "可以直接进行离线语音交互,非常适合开发智能语音助手或智能家居控制中心。",
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      "text": "锐行为2K3576,2K3588,这两款芯片带有6T OPS的NPU,能够支持端侧部署0.5B到3B参数级别的主流大语言模型。",
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      "text": "海思HIGH3403",
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      "text": "海思的HIGH3403V100平台提供了一个本地对话智能体方案,在端侧部署了Mini CPM 4V0。",
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      "text": "芯芯威2K1820,2K1828M,2.算力卡。",
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      "text": "搭载了20TOPS的NPU,可独立离线运行3B、7B级的大语言模型。",
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      "text": "金融QN、LMA等主流开源模型。",
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      "text": "为现有设备扩展端侧大模型能力提供了灵活的解决方案,中等算力与低功耗方案。",
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      "text": "这类方案可能在模型规模上有所限制,但依然能够实现比简单KWS复杂得多的语音识别和理解功能。",
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      "text": "瑞玉AmiroC",
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      "text": "瑞玉的AI Voice是一套纯离线的AI解决方案,包含声学信号处理、唤醒、端点检测和识别等模块。",
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      "text": "可以在Amibus Source上搭建复杂的语音语物。",
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      "text": "既可作为纯离线方案,也能实现离在线混合交互。",
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      "text": "支存科技WTM21,这款芯片的特点是超低功耗。",
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      "text": "在实现三百个词的连续识别时,不觉流年赎尽我白发受却。",
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      "text": "千又绕枝叶,醉酒化地面,千水此天又圆着人间。",
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      "text": "我鸟鸟一幅春山空,我老一掉入湖中。",
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      "text": "鸣尘双流所浓,醒来一场春梦。",
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      "text": "我这一生无心踪,我叹事千春千冲。",
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      "text": "谁疯狂的味道是谁在等候。",
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      "text": "二、全航功耗有信用。",
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      "text": "支存WTM211的芯片,在节级功耗上提供了两朝KMOS的试验。",
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