Multi-Speaker Conversational Audio Corpus Collection for Regional Speech AI
Pain Points (Public)
Teams training conversational ASR and speech synthesis models lack spontaneous spoken dialogue datasets for regional languages like Malay, where open datasets are overwhelmingly formal scripted broadcasts that fail to capture authentic turn-taking, overlaps, and dialectal nuances under controlled acoustic conditions.
Suggested Approach (Public)
Coordinate end-to-end recruitment of verified native speaker pairs conducting topical, semi-structured conversations, delivering calibrated dual-track uncompressed WAV files (48kHz/24-bit, noise floor < -45dB) complete with speaker diarization timestamps, acoustic quality verification, and metadata logging.
Metrics (Public)
Statistics window：Weekly 2026-09-18 – 2026-09-24
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Posted budgets are not confirmed payments. Task counts do not establish independent buyers or willingness to subscribe. Small samples are preliminary signals.
Opportunity assessment PRO
Development brief PRO
- Acknowledge that initial buyer demand is fundamentally for a one-off Malay conversational audio collection deliverable, and position initially as a high-precision dataset curation provider rather than an automated SaaS platform.
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- Build a browser-based dual-channel uncompressed WAV audio recorder that guides two native Malay speakers through topical prompt prompts without a rigid script.
Competitor evidence PRO
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Public Demand Evidence · 2 task(s)
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