Get Your Custom Voice Conversion Dataset
Our service is designed for developers and researchers who need high-quality data without the setup hassle. We handle the entire data generation pipeline, delivering a ready-to-use dataset for your model training.
This is a professional one-off batch processing service for developers. We do not provide a public API for this tool.
The "Teacher-Student" Dataset Advantage
Training a fast, low-latency "student" model for real-time use requires a perfect "teacher" to learn from. Our service provides the state-of-the-art "teacher" data, giving your model a decisive quality advantage.
- Perfect Prosody Matching: Our core engine transfers the exact rhythm and intonation from the source audio to the target voice. Your model learns to speak naturally, not robotically.
- Ideal for RVC & Vocoders: Our datasets are perfectly formatted for training architectures like RVC, VITS, and HiFi-GAN that rely on the Knowledge Distillation method. Stop training on mediocre data.
- Ready-to-Use Paired Datasets: You receive a perfectly structured **voice conversion dataset**: an `input` folder with source audio and an `output` folder with corresponding converted files.
- Massive Time & Cost Savings: Skip the weeks of troubleshooting library dependencies and environmental errors. We save you valuable engineering time and let you focus on what matters: training your model.
- Flexible Source Data: Use your own source audio or leverage public datasets like LibriSpeech. We can handle either workflow.
Our Dataset Generation Process
We've streamlined the process of generating world-class training data. Our pipeline ensures quality and consistency from start to finish.
- Consultation & Quoting: You contact us with your requirements (number of files, source data, target voice). We provide a clear, structured quote.
- Asset Submission: You provide us with a clean, high-quality audio sample of your target voice (30-60 seconds is ideal).
- Data Sourcing & Preparation: We source and prepare the input audio according to your specifications, ensuring it is clean and correctly formatted.
- High-Fidelity Generation: Our powerful "teacher" model generates the paired dataset, meticulously matching prosody and timbre for every file.
- Quality Assurance & Delivery: We perform spot-checking or 100% verification. The final, structured dataset is delivered to you via a secure download link.
Frequently Asked Questions for Developers
What defines a good Voice Conversion Dataset?
A high-quality **voice conversion dataset** consists of thousands of perfectly aligned audio pairs. A `source.wav` (input) and a `target.wav` (output). The target file must have the words and, crucially, the prosody (rhythm and intonation) of the source file, spoken in the new voice. This perfect alignment is what allows your model to learn effectively.
Why is prosody matching important for my training data?
Prosody is key to natural-sounding speech. If your training data has robotic or mismatched timing, your final model will inherit these flaws. Our state-of-the-art prosody transfer ensures your "student" model learns from a perfect, natural-sounding "teacher," resulting in a much higher quality real-time output.
What voice conversion models is this data for?
This data is ideal for any model that benefits from a teacher-student training approach (Knowledge Distillation). It is most commonly used for training real-time, low-latency models for applications. Popular architectures include RVC (Retrieval-based Voice Conversion), VITS, and custom vocoders built on HiFi-GAN.