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Data for speech recognition & voice systems
ASR and TTS datasets, voice agent training data, conversational speech, dialects, and code-switching — captured as natural spoken language, not script reads.
Voice products fail regionally in a specific way: they're trained on MSA or one dialect and then deployed across a market that speaks several. We build dialect-specific speech corpora and voice-agent training data matched to where your users actually are, with natural conversational delivery rather than read-aloud scripts.
What this covers
- ASR training and evaluation sets, by dialect
- TTS voice data with natural prosody, not script-read cadence
- Voice agent conversational data, including interruptions and natural turn-taking
- Code-switched speech (Arabic-English, Arabic-French depending on market)
- Call-center audio for customer-service voice AI
Worked example. A voice-agent team needed 500 hours of Saudi Arabic conversational speech for an ASR fine-tune. We recruited Saudi-based contributors across age and gender ranges, collected unscripted conversational audio, and delivered transcribed, quality-reviewed audio with per-clip metadata.