与「Voice」相关的搜索结果

几点提醒： • 页面名称和位置会变。比如“安全性”已经改成“安全性与登录”，找不到就去官方帮助里确认。 • 改备用号码后，“更改后 7 天内，验证码有时仍会发到旧信息对应的地址”。 • 别用 Google Voice 号码做备用，官方明确不建议。 • Chrome 密码同步到 Google 账号，前提是登录了 Chrome。具体内容可以在 Google 密码管理工具里查看。 • Gemini 聊天在开启“活动记录”时会留在“Gemini 应用活动”里。目前保留 18 个月，也可以改成 3 个月。 • 官方还有一句：“经过人工审核员审核过的聊天记录，即使删除了活动也不会被删除。”最长保留 3 年。

🚀 The full DeepSeek App experience, now via API Search, files, links, safety, and voice. The capabilities behind the DeepSeek App are now available through the DeepSeek API. Enable built-in features with a few parameters, or call standalone APIs such as OCR, ASR, and TTS. Build richer conversations or recreate the full DeepSeek App in your own application. Try our open-source frontend demo, with support for importing DeepSeek conversation history. 🔗 Demo: 📦 Code: 📖 Details: 1/4

MY PAYCHECK WAS SUPPOSED TO BE $4,000. INSTEAD, $50,000 HIT MY BANK ACCOUNT. I reported it to HR the next morning. Twenty minutes later, the CEO walked into the office, locked the door and said something that made my blood run cold. "I was beginning to think nobody here was honest." I've worked for this company for six years. My regular paycheck is $4,000. So when I checked my banking app on payday and saw a $50,000 direct deposit, I knew something was wrong. I didn't spend it. I didn't transfer it. I didn't even tell my coworkers. The next morning, I walked straight into HR. ME: "I think there's been a payroll mistake." HR: "What kind of mistake?" ME: "My paycheck was $50,000." She stopped typing. HR: "How much?" ME: "$50,000. My usual paycheck is $4,000." She stared at me for several seconds. HR: "Have you moved any of it?" ME: "No." HR: "Not even a small amount?" ME: "It's not my money. Why would I touch it?" She slowly closed her laptop. Then she asked a question I wasn't expecting. HR: "Did you receive a notification about the payment?" ME: "Of course. That's how I noticed it." She picked up her phone and made a call. I couldn't hear the person on the other end, but I heard her say: "He's here. And he hasn't touched it." She ended the call. ME: "What's going on?" HR: "How much do you know about the company's payroll system?" ME: "Nothing beyond checking my paycheck." She stood up, walked to the office door and closed it. HR: "Listen. You're not the first person to receive that amount." My stomach tightened. ME: "What do you mean?" She turned her computer towards me. There were eleven employees on a payroll report. Every single one had received a $50,000 payment. ME: "Eleven people?" HR: "Yes. You're the only one who hasn't moved the money." ME: "What happened to the others?" Before she could answer, someone knocked. Two firm knocks. Her face changed. Then a man's voice came from outside. "Open the door. We need to talk about those eleven payments." It was the CEO. 🧵

卧槽，ElevenLabs 这回怕是有点坐不住了 有猛人把一整套院线级别的配音工作室直接开源了，跑起来全靠你自己的电脑，一点外网都不沾。 这东西原来叫 OmniVoice Studio，如今换了个马甲叫 VoiceStudio。 整段 MP4 丢进去就能配音，646 种语言全在支持范围内 按他们的说法，3 秒音频就够克隆出任何人的声音 据说原片里的背景音乐和音效也能原样保住 Mac、NVIDIA、AMD 三类平台都能跑，手头没显卡纯靠 CPU 也照样能用 开源且不收费，GitHub 上星标已经破了 10 万。授权走的是 AGPL-3.0，想拿去接商单得另外买商业授权。 🔗

The NBA mourns the passing of Dan Hicks, whose distinguished broadcasting career included contributions to NBC’s NBA coverage. He was one of NBC Sports’ signature voices for golf, football and the Olympics. We extend our deepest condolences to his wife, Hannah Storm, their three daughters and his friends and colleagues.

👋🏼 不用再给语音合成软件交订阅费了。 现在克隆音色、给视频配音、生成有声书，用 AI 就能搞定，而且完全在本地跑。 它叫 VoiceStudio，开源。 最香的是👇 → 用一小段录音就能克隆音色 → 描述年龄、口音和语气，就能生成声音 → 用 646 种语言的库给视频配音 → 转录音频、生成有声书 → 支持 Windows、macOS、Linux、安卓和 iOS 最让人意外的是，不需要独立显卡。用 CPU 也能跑，只是处理会慢一些。 免费、开源，许可证是 AGPL-3.0。 仓库地址在评论区 👇

Day 22 of building GTA style Bengaluru game, 1. Now supports voice in 5 languages. 2. Source code audit by Fable 5.2. 3. Temple & Cultural rule sets, like no weapons or footwear inside sacred premises, NPCs of different faiths tagged appropriately 4. Cellphone system etc

Claude Fable 5.2 is f*cking cracked wtf I just made this Hollywood level animation that looks like Pixar made it All with Fable 5.2 + Higgsfield Ecom brands are paying $5k - $10k/month to people who build organic pages and even more for making paid ads for them Using this workflow you can create better animations than 99% of people Here’s the workflow: The key to making animations not look like slop is giving characters personalities >Give Fable 5.2 the master prompt along with your script to your video / ad >It then will ask you questions on the characters personalities and direction style to use >It will then save the context all as a skill This is the difference between slop and cinema I then use that skill with with my Producer skill which creates: >Characters >Location >Does the direction (and makes the prompts) I’m giving away the skill to use after you put the master prompt in for free so RT + reply under this and I’ll send you them (Must be following so I can dm) Give this prompt to Claude first: You are my Story Bible Builder. Interview me and turn my story into one dense canon doc, saved at the end as an installable skill so every future chat knows my world, characters, voices and rules. STEP 1: Ask me to paste my script/story first. Read it and pull out everything it already tells you. Only ask about what's missing, plus: working title, genre/vibe refs, and which AI tools I'll prompt with (image, video, music, voice). STEP 2, THE SPINE: one-line premise (push me to ONE sentence), thesis (the question every scene answers), timeline era by era, and the look of each era: exact palette, lighting, texture, grain. STEP 2.5, DIRECTION STYLE: ask for my director refs, movie/show refs and any visual refs (photographers, games, music videos). For each, ask exactly WHAT I'm taking from it, then turn that into concrete craft locks: camera (static vs handheld vs gliding, shot sizes, lens feel), framing and composition habits, pacing and edit rhythm, colour grade and film stock look, lighting style, performance style, and sound/score feel. Write it as one quoted paste-ready "Direction" line plus a short NEVER list. Refs stay in the bible as notes, but prompts describe the craft, never the names. STEP 3, THE WORLD: factions (beliefs, visual signature, public face vs reality), locations (3-7 concrete visual tags each), world rules (tech, powers and how they LOOK on screen, what's normal, what's forbidden). STEP 4, CHARACTERS: ONE AT A TIME, never batch. For each, ask: - Function: their role tag (The Heart, The Watcher), not their job - Visual lock: exact hair colour/cut, skin tone + finish, face shape, eyes, a signature marker (scar, piercing, mole), build, default expression, plus NEVER clauses ("warm fair, never porcelain, never tan") - Backstory: one small, specific formative detail beats a summary - Present psychology: what they carry now, and the gap between what they do and what they feel - Speech, Movement, Stillness (and singing voice if there's music): each written as one quoted, paste-ready prompt line with no names in it Show me the finished section, ask "Add, cut or sharpen?", and lock it before moving on. STEP 5: ensemble dynamics (who leads, who fills silence, who watches, which pairs are calm or charged), story engines (heist, rescue, confrontation...), and my production rules. Default rules: no character names in prompts, every prompt standalone, prompts in code blocks, locked traits restated verbatim every time. RULES: Never invent. Mark unknowns [TBD]. Push on vague answers ("dark and moody" means which colours?). Keep my exact phrasing. Density over prose: bold labels, short bullets. Depth beats character count. FINAL STEP: Assemble one SKILL under 500 lines with YAML frontmatter (name + a description listing the title, character names and key terms so it triggers) and these sections: premise, thesis, timeline, era looks, direction style, factions, locations, world rules, characters, ensemble, engines, production rules, and "When this skill is active" (use this canon for any scene, dialogue, lyric or prompt in this world; stay in canon; ask rather than invent; paste the quoted descriptors verbatim). Then save it as a skill for me, or give me the file to install. Start now by asking for my script.

We’re retiring Advanced and Standard voice from ChatGPT Voice on December 11, 2026. In July, we introduced GPT-Live, our latest voice model that combines natural conversation with frontier intelligence. Since then, voice usage has nearly doubled, and virtually all people using voice in ChatGPT now use GPT-Live. This change will allow us to simplify the voice experience and focus on improving GPT-Live. We've learned a lot from how people used both Advanced and Standard voice, and we're bringing those learnings into GPT-Live as we continue to improve areas like the depth and detail of responses, maintaining continuity across conversations, and better personalization. Our ultimate goal is to make voice a seamless part of the ChatGPT experience. Live video and screen-sharing will continue to be powered by Advanced voice until GPT-Live has this capability.

255M views on a 3D Short by Zack D. Films i tried to rebuild his style with ONE Claude prompt, then ran it on Opus 5.5 and Fable 5.2 (they did NOT make the same Short) the full prompt is below ↓ paste it into Claude Code in an empty folder and answer its 2 questions. it shows u the script and waits for ur go. u need Blender + its free MPFB add-on and a graphics card. give it a few hours (the prompt is minus one optional paid-voice line) Ask me 2 things, then wait: 1. The story in one line: a strange TRUE event where one person did one odd physical thing ("He tied 42 weather balloons to a lawn chair."). If I say "you pick", pitch 3 with one source link each and take the first unless I choose. 2. The voice. Default: Kokoro (free, runs on my computer), a calm, warm male narrator. Then tell me everything else is free: Blender (find my install, or tell me the one download), its free MPFB extension for human bodies (ask me before you install it) and into this folder a Python venv with FFmpeg (imageio-ffmpeg), kokoro-onnx + its model files (kokoro-v1.0.onnx and voices-v1.0.bin from the kokoro-onnx GitHub releases), faster-whisper (small.en), numpy and Pillow. It needs no API key or account and renders on my graphics card with EEVEE. The look: a clean, realistic 3D world, like a good game cutscene. Bright, saturated, a little filmic. - People: realistic bodies with generic faces and big readable expressions (shock, a smirk, a scream). Plain clothes, no logos. Never a real person's likeness: for a real person keep the face out of close-ups (hands, back, side, distance, straight top-down). - CALM shots only. Bodies in fast action or contact (running, jumping, fighting, falling) look stiff, so tell the story with frozen moments under a slowly moving camera, macro inserts of hands and objects, rooms, vehicles, the sky, top-down views and the aftermath. - One new picture for every caption chunk (2-4 words, about 1-1.5 s): a new framing, a new action or a camera move. Nothing ever holds still: every shot drifts, pushes in or orbits. - The shot kit: macro insert (extreme close-up of the key object or hands, very shallow depth of field), hero low angle (wide lens at waist height), god's-eye top-down with a slow rotate, tracked object, over the shoulder, smash zoom on the word that matters, whip pan between beats, glow highlight (the named object glows orange with a rim, then fades), a big 3D number lying in the scene, a thought bubble (a cloud ring showing what he hoped for), a TV in the scene replaying the event. - Light: a bright warm sun, blue sky with clouds, soft shadows. Night scenes use hard lamps and a dark sky. Wide lens up close, depth of field on every shot, motion blur on every fast camera move. - Captions: 2-4 words at a time, white bold rounded sans, about 64 px on a 1080 px-wide frame, centred, 78% down the frame, soft dark shadow, no box. Each chunk replaces the last on the same frame as its picture. - Banned: real footage, photos, downloaded textures or 3D models, logos, AI images or AI video, downloaded music, gore. 38-50 s, 100-140 words, 150-180 words a minute. The voice starts at 0.0 s. - Line 1: the most surprising physical act, in past tense, opening with "He" (or "She"). No name, date or setup. Frame 1 shows that act. - Then a cause-and-effect chain: every sentence starts with a hinge word (Then, Suddenly, So, Because, But, Later) and is ONE visible action. - The context arrives late, after "You see,". - A reveal: someone looks closer and the story turns. - The last line is the consequence. No call to action, no question. - Names are rare: use one only when it pays off. Title = "He ..." or "The Man Who ...". The cover is the first frame. Save every stage to disk so a crash never costs more than one stage. - sources.md: every fact with its link and the date you read it. Anything you can't verify stays out. - script.json: the lines and the caption chunks cut by hand (2-4 words, one picture each), each chunk with its shot: the set, the camera, what moves. - Kokoro reads the whole script in one take (speed 1.0-1.1) and pauses are squeezed to 0.35 s at most; faster-whisper times every word (pass it a 16 kHz numpy array, not a path); write chunks.json with each chunk's start and end. A picture and its caption switch together on frame round(start*30)+1. - blender/: Python scripts run headless (blender -b -P). makes one .blend with the sets, the cast, the props and every shot baked with a key on every frame. sets EEVEE with ray tracing, the AgX view with the Punchy look, motion blur, depth of field and bloom in the compositor. Bodies come from MPFB or are built by you; clothes, hair, props and sets are built in code. - Stills first: one half-size still per shot as a contact sheet. Look at every tile and fix what's off before any full render. Time one full-size frame and tell me the estimate. - Render 1080x1920 at 30 fps to PNG frames, skipping frames already on disk. - numpy only: a light music bed, a sound on every action (a whoosh on each whip pan, hits, wind, room tone), ducked under the voice, mastered to -14 LUFS on the whole stereo mix. - burn the captions in from chunks.json. Encode out/_9x16.mp4 (1080x1920, 30 fps, TV-range yuv420p) and out/_x_7x8.mp4 (1008x1152, under 10 MB, 2-pass): a crop of the 9:16 frame that keeps the subject and the caption. - Blender paths: pass absolute output paths (a relative one lands on the drive root). - MPFB headless: enable it with addon_utils.enable("bl_ext.user_default.mpfb"). Bake a body's shape keys before you pose it: the rig is fitted to the baked shape. - Clothes: cut them from the body mesh and push them 7-16 mm out along the normals; keep two rings of body faces under every hem. - Nothing coplanar: keep every resting object 1 cm off its neighbour and draw ground markings into the texture, or they flicker. - Hair: EEVEE draws hair only from a Curves object, hair type STRIP. Use a Principled BSDF on it (the Hair BSDF renders black). - Skin: keep subsurface weight near 0.2 (more turns faces black in EEVEE) and add a soft fill light from below under a noon sun. - Hands: a curled hand reads as a claw from the palm side, so shoot a grip from behind the knuckles. - Motion blur: shutter position START, a key on every frame, plus a key half a frame after each shot's last frame, so blur never reaches across a cut. - Check: run a black-frame and one-frame-flicker check on the render. Make a contact sheet (a frame every 0.5 s) and look at every tile: the act reads in the first 2 s, faces are lit, nothing clips through anything, captions stay off faces and key objects. Then step through the first 2 s, the middle and the end frame by frame. Fix, render only the changed shots again. Pitch (or take my story), then show me the script with the word count, the caption chunks with their seconds and the shot list with what the first frame shows. Build nothing until I say go. how the two runs went: one run each on the same PC, so it's one sample, not a ranking. both took under 3 hours on one shared 8 GB graphics card. the story for both: a man who tied 42 weather balloons to a lawn chair in 1982 where they split: -> Opus opened wide on the balloons over the yard. Fable opened on the man kneeling at the chair with his Jeep behind him -> Opus put 5 big 3D numbers in its scenes, Fable 2 -> Fable followed the caption spec (white text, soft shadow). Opus went ALL CAPS with a thick outline -> Fable pulled the Smithsonian's own record and ended on the chair in the museum. Opus ended on the $1,500 fine -> a few Opus shots are hazy and one opens on a blank grey frame save this for ur next Short. who did it better, Opus or Fable?