Low-Resource Language Speech Corpus for Voice AI

Client: A global consumer technology company expanding voice assistant coverage into emerging markets Industry: Consumer Technology / Voice AI Services Used: Speech Acquisition, NLP, Multilingual Data Collection

Challenge The client's voice assistant worked well in 15 major languages but failed in emerging markets where hundreds of millions of potential users spoke languages with minimal digital speech data available. Off-the-shelf speech datasets did not exist for the target languages, and the client could not ethically scrape speech data at scale. A ground-up collection effort was required across geographies where the client had no operational footprint.

Additional constraints: speakers had to represent diverse ages, genders, accents, and recording environments to ensure the final voice AI worked for the full population — not just an urban subset.

Lifewood Solution Lifewood activated its field operations in 8 African and Southeast Asian countries, recruiting 6,200+ native speakers across rural and urban communities. Contributors were ethically compensated above local fair-wage benchmarks, with full informed consent documentation. The collection included scripted prompts, spontaneous conversation, and domain-specific commands (commerce, navigation, media) tailored to the client's assistant use cases. Quality control included phonetic transcription, speaker demographic balancing, and environmental noise diversity sampling.

Results

• 14,000 hours of speech data collected across 11 languages

• 6,200+ unique speakers with balanced demographic representation

• 92% word error rate reduction on client's voice AI for target languages vs. baseline

• 11 new market languages launched in the client's assistant within 9 months

• 100% ethical sourcing compliance verified by third-party audit

Representative Testimonial "Lifewood was the only partner who could actually reach the communities we needed. The speaker diversity and ethical sourcing story also gave us something we could proudly talk about publicly." — Director of Voice AI, client company

Tags: Voice AI, Speech Data, Low-Resource Languages, Multilingual NLP, Ethical AI Sourcing