20-language voice dataset delivery for AI training — with auditable consent, standardized recording protocols, and training-ready quality control for a leading AI-powered text-to-speech platform.
The client is a leading US AI-powered text-to-speech platform offering realistic AI voices across multiple languages and accents for multimedia content creation. To expand their multilingual voice synthesis capabilities, they required high-quality voice datasets meeting strict technical and ethical standards.
The challenge was sourcing voice talent capable of delivering pristine audio recordings with specific accent requirements and technical standards suitable for AI training — while maintaining ethical consent standards and budget constraints.
High-fidelity recordings capturing full vocal frequency spectrum
Clean acoustic conditions with no background noise or interference
No distortion, clipping, or compression artifacts
Uncompressed mono WAV format for maximum fidelity
Both RAW and PROCESSED versions submitted for each recording
Specific regional accent profiles per language, verified by native reviewers
Sourcing and screening voice talent across 20 languages, verifying accent profiles, vocal quality, and availability for ongoing recording sessions.
Establishing consistent technical workflows and recording environments across all language teams to ensure uniform audio quality.
Into23 implemented a proprietary "voice fingerprint" recording process to ensure legal and ethical compliance for voice data usage in AI training.
Rigorous QA framework covering technical audio quality, accent accuracy, script adherence, and consent documentation.
End-to-end project management ensuring timely delivery of training-ready audio files in both RAW and PROCESSED formats.
Structured talent pipeline with ongoing engagement and fair compensation models
Efficient recording workflows reducing per-minute costs without compromising quality
Voice fingerprint process ensuring legal and GDPR-aligned consent for AI training use
Standardized recording protocols across all 20 languages and diverse recording environments
This project marked Into23's evolution from a translation and localization company to a specialized AI data services provider — with proven methodologies and scalable frameworks for multilingual AI voice data programs.