Eliminating Bias in Enterprise Voice Assistants
Client
Aura Systems
Industry
NLP / Audio
Impact Deliverables
4 Key Results
Status
Delivered
The Challenge
Aura Systems found their voice assistant performed poorly for users with heavy regional accents. They urgently needed to retrain their ASR models with diverse, conversational audio data to improve inclusivity and user experience.
Loopernode's Solution
Loopernode executed a global data collection campaign, sourcing thousands of participants across 20 specific demographic and dialect groups. We collected natural, unscripted conversational audio in various acoustic environments and provided verbatim, timestamped transcriptions.
Key Business Results
Quantifiable breakthroughs achieved through Loopernode's dedicated data engineering pipeline.
Collected and transcribed over 5,000 hours of diverse audio.
Represented 20 distinct regional accents and dialects.
Decreased Word Error Rate (WER) by 30% for minority dialect speakers.
Significantly boosted overall user satisfaction and engagement metrics.
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