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Featured Case Study

Enabling High-Quality Multilingual Voice Data Collection & Linguistic Review for an AI Voice Platform

How we helped an AI voice platform collect 150+ hours of professional voice recordings across 20+ countries

6 weeks
Project Duration
150+ hours
Voice Data Collected
20+ countries
Global Coverage
10+
Languages Supported

Overview

A rapidly growing AI company specializing in voice synthesis was on a mission to enhance the training of its next-generation voice models. To succeed, they needed a global dataset comprising over 150 hours of professionally recorded speech—free from noise, fully original, and compliant with exacting technical standards.

The recordings had to represent real human speech across 20+ countries, in various native accents and languages. But the voice data was only the first step. Their subsequent pipeline involved precise audio segmentation and review by skilled linguists across multiple languages—a task demanding a different class of expertise.

Challenge

1. Multinational Voice Data Collection

The client required:

  • 150+ hours of voice recordings from professional voice artists
  • 20+ countries represented
  • 1.5-hour long, original scripts per speaker
  • Adherence to strict technical audio specifications
  • No background noise, overlap, or artifacts

2. Linguistic Post-Processing

After raw data acquisition, they needed:

  • Language experts to manually review and split audio files
  • 10+ different languages to be supported
  • Fast turnaround without compromising on linguistic accuracy

Solution by Truelancer

Truelancer mobilized its curated talent network and delivered a two-phase solution:

Phase 1: Voice Artist Recruitment & Audio Collection

  • Onboarded professional voice artists from 20+ countries, carefully screened for accent authenticity and recording quality.
  • Managed end-to-end coordination—from briefing and script validation to test runs and final audio submission.
  • Delivered over 150 hours of clean, high-quality, mono-channel audio recordings.
  • Maintained a 100% compliance rate with the client's technical and linguistic benchmarks.

Phase 2: Multilingual Linguistic Review & Segmentation

  • Assembled a team of certified linguists and language experts in 10+ languages, including regional dialects.
  • Carried out manual audio splitting, time-coded tagging, and quality assurance checks to meet production-readiness.
  • Ensured seamless integration into the client's annotation pipeline with regular reporting and milestone tracking.

Impact

  • Accelerated AI training pipeline: The client was able to push their voice model training forward with clean, diverse, and verified speech data.
  • Operational scalability: What could have taken months with in-house efforts was completed in weeks.
  • Consistent quality delivery: Every audio file passed technical and linguistic review with minimal revisions required.

Why Truelancer

  • Global talent reach with hyperlocal voice diversity
  • Domain-specific expertise across voice acting and linguistics
  • End-to-end project execution with strong QA protocols
  • Rapid turnaround at enterprise scale

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