Voice-Enrollment

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Overview

The large-scale model voice replication service utilizes advanced large-scale model technology for feature extraction, enabling voice replication without a training process. Only a very short audio clip is required to quickly generate a highly similar and naturally sounding custom voice. The large-scale model voice design uses the FunAudioGen-VD model, supporting voice creation via text prompts. It is not limited by any audio quality; based on the target scene's requirements for timbre, tone, intonation, speech rate, emotion, and other expressive aspects, high-quality speech can be generated. It highly replicates the performance level of professional voice actors.

Input

Audio

Output

Audio

Features

Prefix Completion

Enable Partial Mode when calling the Qwen API to make the model continue strictly from your provided prefix text.View docs

Function Calling

Use function calling to connect large language models with external tools and systems.View docs

Cache

Context Cache stores shared prefixes for long-context requests to reduce repeated computation, improve latency, and lower cost.View docs

Structured Outputs

Structured Outputs help ensure the model returns a JSON string in the expected format.View docs

Batches

Asynchronously process requests in batches to reduce costs.View docs

Web Search

Enable web search so the model can answer with real-time retrieved data.View docs

Fine-tuning

Train models on sample data to better adapt them to specific tasks.View docs

Pricing

  • Voice Enrollment And Design
    FreePer voice

Rate Limits

  • RPMRequests Per Minute
    600

API Reference

Call API
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curl -X POST https://maas.qwencloudapi.com/api/v1/services/audio/tts/customization \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
    "model": "voice-enrollment",
    "input": {
        "action": "create_voice",
        "target_model": "cosyvoice-v3-flash",
        "prefix": "myvoice",
        "url": "https://yourAudioFileUrl"
    }
}'