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venice-audio-speech威尼斯音频演讲

Agent Skill

用于辅助音频、音乐、语音转写、语音合成或声音素材处理。它适合让 Agent 生成配乐说明、整理音频流程、调用语音工具或处理播客和视频配音素材。使用时需要确认输入音频来源、输出格式、时长和模型限制;涉及人声克隆、版权音乐或公开发布时,应先核对授权和合规边界。

总安装

392

周安装

17

GitHub Stars

35

下载量

140
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:venice-audio-speech(威尼斯音频演讲)
来源仓库:https://github.com/veniceai/skills
仓库路径:skills/venice-audio-speech
安装命令:
npx skills add https://github.com/veniceai/skills --skill venice-audio-speech
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/veniceai/skills --skill venice-audio-speech

简介

辅助音频、音乐、语音转写和声音素材处理。

  • 适用于让 Agent 生成配乐说明、整理音频流程或处理播客和视频配音素材的场景。
  • 使用时需确认输入音频来源、输出格式、时长和模型限制。
  • 涉及人声克隆、版权音乐或公开发布时,应先核对授权和合规边界。
  • venice-audio-speech 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Venice TTS (/audio/speech)

POST /api/v1/audio/speech converts text to an audio stream or file. OpenAI-compatible — the OpenAI SDK's audio.speech.create() works as a drop-in.

Use when

  • You want narration, voice replies, or UI audio from text.
  • You need a specific voice family (ElevenLabs, Kokoro, xAI, Qwen 3, Orpheus, Chatterbox, MiniMax, Inworld, Gemini Flash).
  • You want streaming audio returned sentence-by-sentence.
  • You need style/emotion control on supported models.

For music generation (lyrics + instrumental), see venice-audio-music. For transcription (audio → text), see venice-audio-transcription.

Minimal request

curl https://api.venice.ai/api/v1/audio/speech \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "tts-xai-v1",
    "voice": "eve",
    "input": "Hello, welcome to Venice Voice.",
    "response_format": "mp3",
    "speed": 1.0,
    "streaming": false
  }' --output hello.mp3

Response is the raw audio (Content-Type matches response_format).

Request schema

FieldTypeDefaultNotes
inputstringRequired. Up to 4096 characters.
modelenumtts-kokoro (OpenAPI schema default)See model list below. tts-xai-v1 is the recommended frontier default; pick the model that fits your voice + language needs.
voiceenummodel-specific (e.g. eve for tts-xai-v1)Voice is model-specific — wrong combo = 400. See voice families.
response_formatmp3 / opus / aac / flac / wav / pcmmp3pcm returns 24 kHz signed-16 LE for pipelines.
speednumber1.0Range 0.25–4.0.
streamingboolfalsetrue → streamed sentence-by-sentence as audio continues to generate.
languagestringOptional hint. Accepted form depends on model (Qwen 3 = full names like English; xAI / ElevenLabs = ISO 639-1 like en; MiniMax = full names). Unsupported values silently ignored.
promptstring, ≤ 500Emotion / style cue. Only for models with supportsPromptParam (Qwen 3 currently). Examples: *"Very happy."*, *"Sad and slow."*.
temperature0–2Sampling temperature. Only for models with supportsTemperatureParam (Qwen 3, Orpheus, Chatterbox HD).
top_p0–1Only Qwen 3 currently.

Models

Model IDFamilyHighlights
tts-xai-v1xAIRecommended default. Conversational style, ISO 639-1 language hints.
tts-kokoroKokoroOpenAPI schema default. Multilingual, many voices across languages.
tts-qwen3-0-6b / tts-qwen3-1-7bQwen 3Emotion control via prompt, temperature, top_p.
tts-inworld-1-5-maxInworldCharacter-driven voices (Craig, Ashley, …).
tts-chatterbox-hdChatterboxHD voices (Aurora, Blade, …), temperature.
tts-orpheusOrpheusConversational (tara, leah, jess, leo, …), temperature.
tts-elevenlabs-turbo-v2-5ElevenLabs TurboRachel, Aria, Charlotte, Roger, …
tts-minimax-speech-02-hdMiniMaxWiseWoman, DeepVoiceMan, …
tts-gemini-3-1-flashGemini FlashStar-named voices (Achernar, Achird, Zephyr, …).

Always inspect the entry for your model in GET /models?type=ttsmodel_spec.voices is the authoritative voice list. Per-model toggles like supportsPromptParam, supportsTemperatureParam, supportsTopPParam live on the internal model definitions but are not currently exposed on /models — treat the request schema below (instructions, temperature, top_p) as the support matrix.

Voice families (by prefix)

  • Kokoro — lowercase + language/gender prefix:

- af_*, am_* — American female / male - bf_*, bm_* — British female / male - zf_*, zm_* — Chinese - ff_*, hf_*, hm_*, if_*, im_*, jf_*, jm_*, pf_*, pm_*, ef_*, em_* — French, Hindi, Italian, Japanese, Portuguese, Spanish - Examples: af_sky, af_bella, am_adam, bm_george, zf_xiaoxiao

  • Qwen 3Vivian, Serena, Ono_Anna, Sohee, Uncle_Fu, Dylan, Eric, Ryan, Aiden
  • xAIeve, ara, rex, sal, leo
  • Orpheustara, leah, jess, mia, zoe, dan, zac
  • InworldCraig, Ashley, Olivia, Sarah, Elizabeth, Priya, Alex, Edward, Theodore, Ronald, Mark, Hades, Luna, Pixie
  • ChatterboxAurora, Britney, Siobhan, Vicky, Blade, Carl, Cliff, Richard, Rico
  • ElevenLabs TurboRachel, Aria, Laura, Charlotte, Alice, Matilda, Jessica, Lily, Roger, Charlie, George, Callum, River, Liam, Will, Chris, Brian, Daniel, Bill
  • MiniMaxWiseWoman, FriendlyPerson, InspirationalGirl, CalmWoman, LivelyGirl, LovelyGirl, SweetGirl, ExuberantGirl, DeepVoiceMan, CasualGuy, PatientMan, YoungKnight, DeterminedMan, ImposingManner, ElegantMan
  • Gemini 3 Flash — star names: Achernar, Achird, Algenib, Algieba, Alnilam, Aoede, Autonoe, Callirrhoe, Charon, Despina, Enceladus, Erinome, Fenrir, Gacrux, Iapetus, Kore, Laomedeia, Leda, Orus, Pulcherrima, Puck, Rasalgethi, Sadachbia, Sadaltager, Schedar, Sulafat, Umbriel, Vindemiatrix, Zephyr, Zubenelgenubi

Pass a voice that isn't in the chosen model's list and you get 400.

Streaming

{
  "model": "tts-xai-v1",
  "voice": "eve",
  "input": "Hello, this is a long document to narrate. ...",
  "streaming": true,
  "response_format": "mp3"
}

With streaming: true, the HTTP body is a chunked audio stream. Decode as it arrives — useful for latency-sensitive UIs. response_format: pcm pairs well with browser Web Audio API for raw playback.

OpenAI SDK

import OpenAI from 'openai'
import fs from 'node:fs/promises'

const client = new OpenAI({
  apiKey: process.env.VENICE_API_KEY,
  baseURL: 'https://api.venice.ai/api/v1',
})

const mp3 = await client.audio.speech.create({
  model: 'tts-xai-v1',
  voice: 'eve',
  input: 'Hello from Venice.',
  response_format: 'mp3',
})

await fs.writeFile('hello.mp3', Buffer.from(await mp3.arrayBuffer()))

Emotion / style (Qwen 3 only)

{
  "model": "tts-qwen3-1-7b",
  "voice": "Vivian",
  "input": "We did it!",
  "prompt": "Excited and energetic.",
  "temperature": 0.9,
  "top_p": 0.95
}

For other families, emotion comes from the voice choice itself (e.g. Inworld Hades vs Pixie). prompt / temperature / top_p are silently ignored.

Errors

CodeMeaning
400Bad voice/model combo, input too long (>4096), language hint rejected by a strict model, invalid voice for the chosen model.
401Auth / Pro-only model.
402Insufficient balance.
429Rate limited.
500 / 503Inference / capacity issue — retry with jitter.

Gotchas

  • input hard cap is 4096 chars. For books / long content, split on sentence boundaries and concatenate audio client-side.
  • streaming: true + SDKs: some OpenAI SDK versions don't expose streaming for audio.speech.create; call the REST endpoint directly and consume the HTTP body.
  • speed compounds with model internal speech rate — extreme values (0.25, 4.0) often sound unnatural; keep within 0.8–1.3 for narration.
  • Voice names are case-sensitive (eveEVE, af_skyAF_SKY).

适合场景

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02

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03

需要对比不同来源的安装命令和来源信息时

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