감정까지 연기하는
한국어 음성 API

npm install openai
export VOICE_STUDIO_KEY="vs-..."

pip install openai
export VOICE_STUDIO_KEY="vs-..."

import fs from "node:fs";
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://voicestudio.gensapps.com/v1",
  apiKey: process.env.VOICE_STUDIO_KEY,
});

const audio = await client.audio.speech.create({
  model: "voice-studio-1",
  voice: "minji",
  input: "[차분]괜찮아.[/차분] [놀람 0.7]잠깐, 저 소리 들었어?[/놀람] [화남 0.9]누가 문을 열어 둔 거야![/화남]",
  instructions: "긴장한 밤 장면. 낮은 목소리로.",
  response_format: "mp3",
  markup: "emotion-v1", // 감정 표기 켜기
});

fs.writeFileSync("scene.mp3", Buffer.from(await audio.arrayBuffer()));

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://voicestudio.gensapps.com/v1",
    api_key=os.environ["VOICE_STUDIO_KEY"],
)

with client.audio.speech.with_streaming_response.create(
    model="voice-studio-1",
    voice="minji",
    input="[차분]괜찮아.[/차분] [놀람 0.7]잠깐, 저 소리 들었어?[/놀람] [화남 0.9]누가 문을 열어 둔 거야![/화남]",
    instructions="긴장한 밤 장면. 낮은 목소리로.",
    response_format="mp3",
    extra_body={"markup": "emotion-v1"},  # 감정 표기 켜기
) as audio:
    audio.stream_to_file("scene.mp3")

curl https://voicestudio.gensapps.com/v1/audio/speech \
  -H "Authorization: Bearer $VOICE_STUDIO_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "voice-studio-1", "voice": "minji", "markup": "emotion-v1",
       "input": "[기쁨]드디어 도착했어요![/기쁨] 오늘 정말 길었네요."}' \
  -o hello.mp3

const res = await fetch("https://voicestudio.gensapps.com/v1/voices", {
  headers: { Authorization: `Bearer ${process.env.VOICE_STUDIO_KEY}` },
});
for (const v of (await res.json()).data) console.log(v.id, v.name, v.tone);

import os, httpx

res = httpx.get(
    "https://voicestudio.gensapps.com/v1/voices",
    headers={"Authorization": f"Bearer {os.environ['VOICE_STUDIO_KEY']}"},
)
for v in res.json()["data"]:
    print(v["id"], v["name"], v["tone"])