
#语音
Philipp Schmid@_philschmidAI 评分5252
Philipp Schmid@_philschmidAI 评分5555Gemini API:更新日志AI 评分5757 Gemini API 为 Gemini 3.8 TTS 推出 Voice remixing 功能
Gemini API 于 11 月 4 日发布 Voice remixing,可用自然语言指令修改现有的预置或设计语音,生成独立存储的新语音。
MarkTechPostAI 评分5151 Soniox 发布 STT v6:新增 Agent 文本输入与回声过滤
Soniox 发布语音转文本 API Soniox STT v6,提供 stt-rt-v6 流式与 stt-async-v6 文件两种模型,支持 60+ 语言。
OpenRouter@OpenRouterAI 评分4848更出色的转写,同样小巧的模型。 来自 @moondreamai 的 Parakeet Ultra 现已上线 OpenRouter 🎙️
引用Models on OpenRouter@ModelsOnORParakeet Ultra from @moondreamai is live on OpenRouter Moondream's post-trained version of NVIDIA Parakeet TDT 0.6B v3: same architecture and speed, lower word error rate on every benchmark group. 25 European languages, with segment and word timestamps. $0.06 per hour of audio, served by @PrimeIntellect. http://openrouter.ai/moondream/parakeet-ultra
OpenRouter@OpenRouterAI 评分4242引用Models on OpenRouter@ModelsOnORHeyGen Voice Turbo from @HeyGen is free on OpenRouter until November 30! The lower-latency version of HeyGen's text-to-speech model, the one that topped the Artificial Analysis TTS leaderboard. $0, no credits needed. Over 2,900 voice options, 39 languages, up to 5,000 characters per request, streamed as 44.1 kHz audio. See more: http://openrouter.ai/heygen/heygen-voice-1-turbo:free
TechCrunch:AIAI 评分6060 Apple Watch Audio Intelligence 对话回溯与摘要功能开启 beta 测试
Apple 的 Audio Intelligence 功能随 iOS 27.3 面向开发者开启 beta 测试,包含声音识别、歌曲识别、Live Rewind 和 Siri Recaps 四项可选择性开启的功能,适用于 Apple Watch Series 12 和 Ultra 4。
Rohan Paul@rohanpaul_aiAI 评分5353
引用Hume AI@hume_aiIntroducing the Hume Audio Decision API. Ask anything: How many speakers? Is anyone laughing? Is the caller frustrated? What used to take 10+ models is now one call. Trained on 10M+ human judgments, so it answers the way human listeners would. Realtime, or across hours of recordings. Request access below.
Ant Ling@AntLingAGIAI 评分4848引用AJ@ItsmeAjayKVTested voice cloning with Ming-3.0-tts-0.5B by @AntLingAGI and it is even more insane. For a model of this size, voice cloning happens really well, i tested my own voice, half drunk, in a room full of noise (fan noise mostly) and it instantly cloned it. It needed just a 5-second sample of my voice, and it speaks faster than real time: about 4 seconds of speech in 2–3 seconds. All running locally on my RTX 3090. Ming takes about 3.3 GB of VRAM, and the whole model is under 3 GB on disk. Great time for Local AI.
IT之家·人工智能AI 评分4444 香港“港话通”上线 AI 音乐功能,接入 YuE2 音乐大模型可免费生成粤语歌
香港生成式人工智能研发中心(HKGAI)研发的本地 AI 智能助理“港话通”(HKChat)于 10 月 30 日更新,推出接入 YuE2 音乐大模型的 AI 音乐生成功能。用户哼唱或上传图片并输入构思,即可生成含专业编曲和人声献唱的原创歌曲,该功能以粤语流行曲为特色,现阶段向所有用户免费开放。
Rohan Paul@rohanpaul_aiAI 评分5050
引用Shobhit Banga@shobhitbangaDrop 2/15 Are we actually measuring the things we ultimately want our voice AI models to achieve? The best AI voices are becoming hard to tell apart. From each other. Not from humans. 🚀 Introducing Turing TTS: an evaluation that measures how often human listeners mistake AI-generated speech for real human speech. We tested leading TTS models against real human speech. Even the best model fooled listeners only ~10% of the time. With Turing TTS, we hope to contribute to a broader discussion within the research community about how we measure progress in voice AI. If one of our goals is to develop speech that is indistinguishable from human speech, how well do our current evaluation methods capture progress toward that goal? We don’t claim that Turing TTS is the right way forward, or that human indistinguishability should be the goal of every TTS system. Rather, we hope these findings encourage the community to collectively examine whether blind pairwise human evaluations of naturalness are sufficient, and what else we might need to measure. Results are now live on @voicearena_ai.
Hugging Face 社区博客AI 评分4949 用 NVIDIA Nemotron 开源模型打造万圣节鬼屋 MonsterHouse
开发者基于 NVIDIA Nemotron Voice Agent 搭建万圣节互动投影 MonsterHouse,由 Nemotron ASR 负责听、Nemotron 3.5 Bolt E4B 4GB 负责对话、Magpie TTS Zeroshot 负责发声、Audio2Face-3D 驱动嘴部动画,全部跑在一台工作站上。
Rohan Paul@rohanpaul_aiAI 评分5151引用Cartesia@cartesiaIntroducing Cartesia Managed Agents: our end-to-end voice agent platform for enterprise. #1 on @ArtificialAnlys Speech Agent Arena and @ServiceNow EVA-Bench, built by co-designing our voice models and harness as one system. Check it out → https://cartesia.ai/blog/managed-agents
MarkTechPostAI 评分5252 Edge0 发布 0.6B 语音克隆 TTS 模型 Audio8-TTS-Realistic,支持 23 种语言并采用 Apache 2.0 开源
Edge0 发布开源加权 TTS 模型 Audio8-TTS-Realistic,601M 参数,可从 1 条参考音频和转录文本零样本克隆声音,支持 23 种语言,权重和代码以 Apache 2.0 发布。
Alex Heath@alexeheathAI 评分5353引用Granola@meetgranolaGranola now does voice typing. Unlimited words, for free. Granola already writes your meeting notes. Now it can do the typing for you, in any app.
Armin Ronacher AI 博客AI 评分6060 Qwen3-TTS 语音嵌入实践:克隆声音混合、指令控制与性别向量运算
作者分享用 Qwen3-TTS 为游戏配音制作自定义声音的实践。1.7B-Base 模型可从 28 秒录音提取 2048 维说话人嵌入,通过加权平均混合出独特声音,再把克隆嵌入传入 CustomVoice 模型即可对克隆声音下指令(如悲伤、低语),比预期效果更好;作者还演示了用 14 对男女声音求平均得出性别轴移动音色的方法,并测试了嵌入做说话人识别的效果。
TechCrunch:AIAI 评分4949 Granola 推出听写功能,与 Wispr 正面竞争
以会议记录工具起家的 Granola 上线听写功能,用户在 Mac 上按 Fn 键即可说话,工具会自动整理并格式化语音,最终文本可粘贴到所有应用,支持写笔记、口述提示词和回复邮件消息,且不限字数、免费使用。该功能将很快登陆 iOS 和 Windows。此举发生在 Wispr 推出会议记录工具数月之后,Granola 与 Wispr 估值分别为 15 亿美元和 20 亿美元。
Rohan Paul@rohanpaul_aiAI 评分4545
引用Shobhit Banga@shobhitbangaDrop 1/15: Introducing Joy, a dual-channel conversational dataset. Real, unscripted conversations between two people, each on their own track. Built to teach voice models how people actually talk: when to listen, when to jump in, when to say “hmm”. 100,000 hours. 50,000 speakers. 10 languages.
ElevenLabs@ElevenLabsAI 评分4343用一条提示词描述场景,SFX v3 就能开始工作。 人群欢呼,球落下,然后人群发出嘘声。SFX v3 能更可靠地遵循多条指令,一步步把你描述的内容更多地融入音频中。

Rohan Paul@rohanpaul_aiAI 评分565610 人初创公司 Phonic 发布语音到语音模型 Phonic-1,官方称其为唯一能在来电者说到一半时就执行查询和预订的语音模型。
引用Moin Nadeem@moinnadeemIntroducing Phonic-1, the most advanced speech-to-speech model for agentic tasks — from @phonic_co, the speech-to-speech model company. We’ve had a breakout year and raised a $27.5M Series A led by @firstround with participation from @Lux_Capital, @felicis, and Definition.
Claude@claudeaiAI 评分4141iOS 和 Android 上的语音模式响应更快,在嘈杂房间或你小声说话时也能听得更清楚。非英语语音听起来更自然,语音功能现已在更多 Android 手机上运行。
Claude@claudeaiAI 评分4848Cartesia 产品与研究AI 评分5555 Cartesia 发布 Managed Agents 企业级语音智能体平台,登顶 Speech Agent Arena
Cartesia 发布端到端语音智能体平台 Managed Agents,在 Artificial Analysis Speech Agent Arena 以 1115 偏好 Elo 排名 30 个智能体中的第一,并在 ServiceNow 的 EVA-Bench 上取得 87% 准确率和 91% 体验分的最高成绩。
Artificial Analysis@ArtificialAnlysAI 评分5858
Artificial Analysis@ArtificialAnlysAI 评分6565
TechCrunch:AIAI 评分6464 Deepgram 收购 Pipecat 开发商 Daily 并推出语音智能体开放协议 RCS
Deepgram 宣布收购开源语音 AI 基础设施 Pipecat 的开发与维护方 Daily,交易金额未披露,双方承诺 Pipecat 将永久保持开源和供应商中立。
Hugging Face 社区博客AI 评分6060 Hugging Face 发布 AnySpeechRecognizer 与 AnyDecisionModel 两个 Swift 开源包
Hugging Face 社区博客发布 AnySpeechRecognizer 0.1.0 和 AnyDecisionModel 0.6.0 两个 Swift 包,让开发者在 Apple 平台上以统一 API 选择语音识别和决策引擎。
MarkTechPostAI 评分6060 AssemblyAI 发布首个语音合成模型 TTS-1,定价 $15/1M 字符面向语音 Agent
AssemblyAI 发布首个文本转语音模型 AssemblyAI-TTS-1,正式开放 API,面向实时电话语音 Agent,定价 $15/1M 字符且不限并发。
MarkTechPostAI 评分4949 Block 发布 Dessa:仅用语音训练的全双工语音模型
Block 发布研究预览版 Dessa,一款仅用人类对话音频训练的全双工语音到语音模型,不使用文本和预训练模型。它用 1 台 NVIDIA GB200 NVL72(72 块 GPU)训练,可在 MacBook Pro M4 Max 及以上本地运行且快于实时。目前仅有演示,未公布 benchmark 分数、参数量、权重、论文或 API,需申请 waitlist。
IT之家·人工智能AI 评分7272 英伟达发布开放权重转录模型 Nemotron 3.5 Transcribe,支持 40 种语言并开源数据管线 Granary v2
英伟达于 10 月 28 日发布开放权重语音转录模型 Nemotron 3.5 Transcribe,并公开训练数据管线 Granary v2。
MarkTechPostAI 评分6565 NVIDIA 发布开源语音转录模型 Nemotron 3.5 Transcribe,支持 40 种语言、约 4.3B 激活参数
NVIDIA 发布开源权重语音模型 Nemotron 3.5 Transcribe,单模型支持 40 种语言、最长 1 小时音频的转录,可内置输出说话人标签、词级时间戳和翻译。
Gemini Notebook@Gemini_NotebookAI 评分5050引用Gemini Notebook@Gemini_NotebookLive Chat is now 100% rolled out to all Ultra users on mobile 📱✨ Have real-time voice conversations with your notebooks across ~100 languages. Powered by our latest audio models, ask questions about your sources and get step-by-step guidance (almost) completely hands-free.
Aravind Srinivas@AravSrinivasAI 评分5050引用Houssein Djirdeh@hdjirdehWe worked with @therealbradysm, @annuskabarta, and the rest of the multimodal team to bring this incredible new voice mode to Perplexity web. - Natural back-and-forth conversation - Navigate the app entirely by voice - Work across multiple sessions at once Runs on GPT-Live-1. Lots more improvements to come!

