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AI Voice Generation

技能 已验证 活跃

AI voice generation, text-to-speech, and voice synthesis via inference.sh CLI. Models: Inworld TTS-2 (100+ languages, emotion/non-verbal steering), Inworld TTS 1.5 (ultra-low latency), ElevenLabs (22+ premium voices, 32 languages), Kokoro TTS, DIA, Chatterbox, Higgs, VibeVoice for natural speech. Capabilities: multiple voices, emotions, accents, long-form narration, conversation, voice transformation, delivery mode control, character voices. Use for: voiceovers, audiobooks, podcasts, video narration, accessibility, gaming NPCs, avatar audio, UGC. Triggers: voice cloning, tts, text to speech, ai voice, voice generation, voice synthesis, voice over, narration, speech synthesis, ai narrator, elevenlabs, eleven labs, natural voice, realistic speech, voice ai, voice changer, inworld, inworld tts, character voice, npc voice

目的

To generate natural-sounding AI voices for diverse applications like voiceovers, audiobooks, podcasts, and character audio.

功能

  • AI voice generation and text-to-speech
  • Support for multiple TTS models (Inworld, ElevenLabs, Kokoro, etc.)
  • Customization of voices, emotions, and delivery modes
  • Long-form narration and conversational AI
  • Voice transformation capabilities

使用场景

  • Creating voiceovers for videos and commercials
  • Narrating audiobooks and podcasts
  • Generating dialogue for game NPCs and virtual characters
  • Enhancing accessibility with natural-sounding speech synthesis

非目标

  • Real-time voice cloning beyond provided models
  • Music generation or audio editing beyond simple merging
  • Direct integration with specific social media platforms

工作流

  1. Install the `belt` CLI and log in.
  2. Select an appropriate TTS model from the available options.
  3. Construct an input JSON with the text and desired voice parameters.
  4. Run the `belt app run` command with the chosen model and input.
  5. Merge or use the generated audio output as needed.

实践

  • Voice selection
  • Punctuation for pacing
  • Sentence length optimization
  • Content chunking

先决条件

  • inference.sh CLI (`belt`) installed
  • Valid `belt login` session

Scope

  • info:Tool surface sizeThe skill exposes multiple models and variations, which is appropriate for its function, but the exact number of distinct 'tools' isn't clearly delineated.

安装

npx skills add inferen-sh/skills

通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。

质量评分

已验证
95 /100
1 day ago 分析

信任信号

最近提交1 day ago
星标433
许可证MIT
状态
查看源代码

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