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苹果新 Apple Watch 专利获批：让屏幕在水下也能“说话”
苹果最新专利让Apple Watch屏幕变水下扬声器，通过声学振膜技术解决水下通讯盲区，科技迷必看。
IT之家 7 月 9 日消息，科技媒体 Patently Apple 昨日（7 月 8 日）发布博文，报道称苹果公司最新获批 Apple Watch 水下扬声器专利， 可应用于上浮速度警告、潜水时长、气瓶剩余量、深度警告以及紧急求救信号等场景。 IT之家援引博文介绍，该专利指出在水下环境，常规通知方…
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Show HN: On-device transcriber that's 97% accurate at identifying speakers
97%准确率的说话人识别，本地运行无需会议机器人，2秒内快速搜索对话摘要
I’ve spent the last seven months building a tool I wish I’d had in my previous roles. MimicScribe is a macOS menu bar app that fits the "AI notetaker"…
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FiLM-Based Speaker Conditioning of a SpeechLLM for Pathological Speech Recognition
病理性语音识别新突破：FiLM条件化SpeechLLM，精准捕捉说话人特征，提升识别鲁棒性。
arXiv:2606.06211v1 Announce Type: new Abstract: Automatic speech recognition (ASR) has advanced remarkably for standard speech; however, pathological …
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G-STAR: End-to-End Global Speaker-Tracking Attributed Recognition
全球说话人跟踪与识别一体化端到端新框架，攻克多人场景下的身份与轨迹联合建模难题
arXiv:2603.10468v2 Announce Type: replace-cross Abstract: We study timestamped speaker-attributed automatic speech recognition (SA-ASR) for long-form,…
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WhoSaidIt: Human-LLM Collaborative Annotation for Text-Based Multilingual Speaker-Attribute Classification
人类与LLM协同注释框架，攻克多语言文本中说话人属性分类任务，效率与质量双提升
arXiv:2605.26070v1 Announce Type: new Abstract: Annotating speaker attributes from text is inherently ambiguous, particularly in multilingual settings…
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Iterative LLM-based improvement for French Clinical Interview Transcription and Speaker Diarization
多轮LLM迭代优化，法语医疗对话转录准确率与说话人归属大幅提升，突破30%词错误率瓶颈
arXiv:2603.00086v2 Announce Type: replace Abstract: Automatic speech recognition for French medical conversations remains challenging, with word error…
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SpeakerLLM: A Speaker-Specialized Audio-LLM for Speaker Understanding and Verification Reasoning
SpeakerLLM 将说话人理解与验证推理整合到自然语言界面，不仅区分‘是谁’，还能解释声音轮廓、录音条件等证据，为可解释的说话人认知铺平道路——这比单纯打分有用得多。
arXiv:2605.15044v1 Announce Type: cross Abstract: As audio-first agents become increasingly common in physical AI, conversational robots, and screenle…