Microsoft Vibevoice
Playground
Try it 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.
Features
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.
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Natural dialogue Realistic turn-taking and conversational flow between speakers.
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Multilingual voices 9 preset voices across English, Chinese, and Indian languages.
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Expression control Adjust voice expressiveness with the scale parameter.
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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.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/microsoft/vibevoice" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"speaker_1": "en-Alice_woman",
"scale": 1.3
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | Text to convert to speech. For multi-speaker dialogue, use 'Speaker 0:', 'Speaker 1:' prefixes. | |
| speaker_1 | string | No | en-Alice_woman | en-Alice_woman, en-Carter_man, en-Frank_man, en-Mary_woman_bgm, en-Maya_woman, in-Samuel_man, zh-Anchen_man_bgm, zh-Bowen_man, zh-Xinran_woman | Voice for Speaker 0. |
| speaker_2 | string | No | - | en-Alice_woman, en-Carter_man, en-Frank_man, en-Mary_woman_bgm, en-Maya_woman, in-Samuel_man, zh-Anchen_man_bgm, zh-Bowen_man, zh-Xinran_woman | Voice for Speaker 1 (optional). |
| speaker_3 | string | No | - | en-Alice_woman, en-Carter_man, en-Frank_man, en-Mary_woman_bgm, en-Maya_woman, in-Samuel_man, zh-Anchen_man_bgm, zh-Bowen_man, zh-Xinran_woman | Voice for Speaker 2 (optional). |
| speaker_4 | string | No | - | en-Alice_woman, en-Carter_man, en-Frank_man, en-Mary_woman_bgm, en-Maya_woman, in-Samuel_man, zh-Anchen_man_bgm, zh-Bowen_man, zh-Xinran_woman | Voice for Speaker 3 (optional). |
| scale | number | No | 1.3 | 1 ~ 2 | CFG Scale (Guidance Strength). |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated audio. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |