296건 · 관련도순
Use the MiniMax API from the command line to generate chat responses and turn text into speech. Select models and voices, adjust speech settings, and save audio files for further use.
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Turn articles, notes, or scripts into solo podcast MP3s using the paid Beatra service. The referenced package supports a consistent host voice, natural pacing, and pronunciation control, with cost approval and audio review steps.
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Create multilingual voice-over audio from scripts supplied for each language using the paid Beatra service. Guides voice selection for each market, pronunciation and timing pilots, and delivery organized by language and segment for review.
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Turn a topic, documents, or briefing into a spoken podcast episode. Draft a script for approval, generate speech in short segments, and combine them into an MP3 with its duration and output location reported.
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Create videos based on 『三体』 through a structured workflow covering source-setting research, scripts, storyboards, character consistency, audio, and final assembly. It also checks story consistency and technical quality, and prepares titles, covers, and tags for B站.
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Generate speech from text for videos, audiobooks, and live interactions. The skill supports voice cloning from reference audio, emotion-based delivery, incremental audio generation, and Chinese, English, and dialect support, with quality-focused and faster model options.
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Create narration that fits fixed video segments or a continuous long story using one selected voice. Check speech duration and pauses when local tools are available, and adjust wording through regeneration to meet timing requirements.
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AI 音乐 / BGM 生成：给短视频、社媒内容生成原创背景音乐 / 配乐 / 纯音乐。通过可插拔 provider（阿里 DashScope / Suno 类第三方 API）文生音乐，异步提交→轮询→下载，产物可再裁剪/归一化或加到视频。当用户说“AI 音乐”“AI 配乐”“生成 BGM”“背景音乐”“原创音乐”“AI 作曲”“纯音乐”“给视频配乐”“做首曲子”时使用。与 tts-voiceover 的区别：tts-voiceover 生成人声口播/旁白，ai-music 生成背景音乐/配乐（无人声或带演唱）。
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Routes NVIDIA Nemotron Speech (Formerly Riva) NIM tasks — deploys, runs, and tests ASR, TTS, and NMT NIMs on build.nvidia.com or self-hosted.
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Apply Fitts's Law — target acquisition time depends on size and distance. Use when sizing and positioning controls, especially for touch. For how many controls to show at once, use `hicks-law`.
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Generate audio narration of blog posts using Google Gemini TTS. Supports summary narration, full article read-aloud, and two-speaker podcast/dialogue mode with 30 voice options. Outputs MP3 with HTML5 audio embed code. Works standalone via /blog audio or internally from blog-write. Falls back gracefully when API key is not configured. Use when user says "blog audio", "narrate blog", "audio version", "text to speech", "tts", "podcast mode", "read aloud", "audio narration", "voice", "narration", "generate audio".
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HyperFrames CLI tool — hyperframes init, lint, preview, render, transcribe, tts, doctor, browser, info, upgrade, compositions, docs, benchmark. Use when scaffolding a project, linting or validating compositions, previewing in the studio, rendering to video, transcribing audio, generating TTS, or troubleshooting the HyperFrames environment.
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Google Text-to-Speech (gTTS) for converting text to audio. Use when creating audiobooks, podcasts, or speech synthesis from text. Handles long text by chunking at sentence boundaries and concatenating audio segments with pydub.
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Für VDuG Abhilfeklage AGB Schnittstelle: erstellt Entwurf mit Antrag, Beweis und Anlagen; Ergebnis: Schriftsatz mit Begründungs- und Anlagenlogik.
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视频配音与配乐。三件事——(1) 配音：把口播稿用 TTS 生成旁白音频；(2) 配乐：根据视频内容/节奏匹配合适的 BGM，从免版权曲库找到并下载；(3) 混音：把 BGM + 旁白 + 视频用 ffmpeg 合成，自动压音(BGM 在人声下自动变小)、响度归一、淡入淡出、对齐视频长度。当用户说「配音」「配乐」「加 BGM」「背景音乐」「找音乐」「给视频配旁白」「TTS 口播」「混音」「audio」时触发。
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Smallest personal narrated-explainer-video pipeline (spoken narration over visuals, not an audio podcast), fully tool-agnostic and autonomous by default — topic → research ∥ asset collection → script → TTS → video → 4K render ∥ publish info + cover. The skill defines the pipeline logic and self-verified checkpoints; any TTS backend and any video tool (Remotion, HyperFrames, CapCut, ...) work, and how much human oversight to apply is set by the working project's AGENTS.md/CLAUDE.md, not here. Use when the user wants a quick personal narrated video with minimal steps, whether or not they name the tool stack. Do NOT trigger for audio-only podcasts, written episodic content, or heavy multi-format production.
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Generate cloned narration for the content workspace. Use local IndexTTS2 with the canonical lossless Pluviobyte reference for every local video, voice audition, digital-human narration, and subtitle-ready audio render. Preserve MiniMax only for public-facing articles or tutorials that teach users to connect through the relay service; never use MiniMax for local video production.
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HyperFrames CLI tool — hyperframes init, lint, preview, render, transcribe, tts, doctor, browser, info, upgrade, compositions, docs, benchmark. Use when scaffolding a project, linting or validating compositions, previewing in the studio, rendering to video, transcribing audio, generating TTS, or troubleshooting the HyperFrames environment.
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Transcribes Chinese/English audio with StepFun's stepaudio-3-asr-max via its SSE endpoint (not /v1/audio/transcriptions) — one call handles long-form audio with no chunking. Use when migrating from step-asr/stepaudio-2.5-asr, or hitting the misleading "model not supported" error (actually wrong endpoint). Triggers on 阶跃 ASR, 语音识别. Not for TTS with the sibling model (use stepfun-tts).
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Hume AI Octave TTS and EVI speech-to-speech configs: synthesize speech and manage EVI configs. Trigger phrases: hume, hume ai, octave tts, EVI config.
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ElevenLabs: check subscription usage, list voices, and generate text-to-speech audio. TTS spends quota and needs --confirm. Trigger phrases: elevenlabs, eleven labs, voice api, tts, text to speech.
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Google Gemini media generation: Nano Banana images, Imagen 4 images, Veo video, TTS, model listing. Trigger phrases: gemini image, nano banana, imagen, veo video, google veo, gemini tts.
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Deepgram speech AI: transcribe audio to text and synthesize speech (TTS). Trigger phrases: deepgram, transcribe audio, speech to text, STT, deepgram tts.
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Transforms reading-oriented prose into listening-optimized text for flat, neutral vocal delivery — TTS, podcasts, audiobooks, CLE audio. Carries a legal layer: case citations, section symbols, subsection lettering, Latin terms and footnotes are unspeakable as written, so a brief, opinion, statute, contract or memo needs them expanded, restructured or stripped before it can be listened to — and quoted authority is never rewritten. Use when converting written content for audio, preparing oral argument by ear, producing CLE or client-facing audio, or making a document listenable on a commute. Triggers on "make this listenable," "convert for audio," "optimize for reading aloud," "prepare for TTS," "make an audio version," "podcast script," "read this aloud." Supports English, French, Spanish, Italian, German and Portuguese; outputs plain text, ElevenLabs audio tags, or SSML for Amazon Polly, Google or Azure.
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