Microsoft Vibevoice

Microsoft VibeVoice is an advanced multi-speaker text-to-speech model that generates natural conversations between up to 4 speakers. Assign different voices to speakers in your script and the model produces realistic dialogue with natural turn-taking and expression.

Why Choose This?

Multi-speaker conversations Support up to 4 distinct speakers in a single generation.
Natural dialogue Realistic turn-taking and conversational flow between speakers.
Multilingual voices 9 preset voices across English, Chinese, and Indian languages.
Expression control Adjust voice expressiveness with the scale parameter.
Prompt Enhancer Built-in tool to automatically improve your scripts.

Parameters

Parameter	Required	Description
prompt	Yes	Conversation script with speaker labels
speaker_1	No	Voice for Speaker 0 (default: en-Alice_woman)
speaker_2	No	Voice for Speaker 1
speaker_3	No	Voice for Speaker 2
speaker_4	No	Voice for Speaker 3
scale	No	Voice expressiveness (default: 1.3)

Available Voices

Voice	Language	Gender
en-Alice_woman	English	Female
en-Carter_man	English	Male
en-Frank_man	English	Male
en-Mary_woman_bgm	English	Female
en-Maya_woman	English	Female
in-Samuel_man	Indian	Male
zh-Anchen_man_bgm	Chinese	Male
zh-Bowen_man	Chinese	Male
zh-Xinran_woman	Chinese	Female

Prompt Format

Write conversations using speaker labels. Each line starts with "Speaker N:" followed by the dialogue:

Speaker 1: Hey, have you tried the new VibeVoice model on WaveSpeedAI yet? Speaker 2: Not yet! What's so special about it? Speaker 1: It can generate really natural multi-speaker conversations like this one.

How to Use

Write your script — create dialogue with Speaker 1, 2, 3, 4 labels.
Assign voices — select a voice for each speaker.
Adjust scale (optional) — increase for more expressive delivery, decrease for calmer tone.
Run — submit and download your generated conversation.

Pricing

Output	Cost
Per generation	$0.12

Best Use Cases

Podcast Production — Generate multi-speaker podcast episodes.
Dialogue Prototyping — Preview conversational scripts before recording.
Audiobook Narration — Create multi-character dialogue scenes.
Language Learning — Produce natural conversation samples in multiple languages.
Video Voiceover — Generate dialogue tracks for video content.

Pro Tips

Use Speaker 1, 2, 3, 4 to label up to 4 different characters.
Mix male and female voices for more natural conversations.
Voices with "_bgm" suffix include background music.
Increase scale above 1.3 for more dramatic delivery, lower for neutral tone.
Combine English and Chinese speakers for bilingual conversations.

Notes

Only prompt is required; speaker voices default if not specified.
Speaker labels must use numbers 0-3 matching speaker_1 through speaker_4.
Maximum 4 speakers per generation.
Use the Prompt Enhancer to improve script quality.

Vibevoice API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/microsoft/vibevoice with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Vibevoice below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/microsoft/vibevoice" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "speaker_1": "en-Alice_woman",
    "speaker_2": "en-Alice_woman",
    "speaker_3": "en-Alice_woman",
    "speaker_4": "en-Alice_woman",
    "scale": 1.3
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("microsoft/vibevoice", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "speaker_1": "en-Alice_woman",
        "speaker_2": "en-Alice_woman",
        "speaker_3": "en-Alice_woman",
        "speaker_4": "en-Alice_woman",
        "scale": 1.3
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "microsoft/vibevoice",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "speaker_1": "en-Alice_woman",
    "speaker_2": "en-Alice_woman",
    "speaker_3": "en-Alice_woman",
    "speaker_4": "en-Alice_woman",
    "scale": 1.3
}
)

print(output["outputs"][0])  # → URL of the generated output

Vibevoice API — Frequently asked questions

What is the Vibevoice API?

Vibevoice is a Microsoft model for audio generation, exposed as a REST API on WaveSpeedAI. Microsoft VibeVoice text-to-speech model generates long-form speech from text with multi-speaker dialogue support. Choose from 9 voice presets across English, Chinese, and Hindi. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Vibevoice API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/microsoft/microsoft-vibevoice.

How much does Vibevoice cost per run?

Vibevoice starts at $0.12 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Vibevoice accept?

Key inputs: `prompt`, `scale`, `speaker_1`, `speaker_2`, `speaker_3`, `speaker_4`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/microsoft/microsoft-vibevoice.

How long does Vibevoice take to generate?

Average end-to-end generation time on WaveSpeedAI is around 60 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Vibevoice outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Microsoft). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

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