Lingu: AI-Powered Language Learning & Speech Telemetry
Integrated automated phonetic speech evaluation and adaptive learning paths powered by state-of-the-art NLP models.
The Challenge
Lingu required a high-speed audio telemetry and pronunciation scoring engine to deliver real-time feedback to corporate and immigrant students learning Norwegian, without overwhelming human language tutors.
The Solution & Architecture
WDL developed an audio processing pipeline featuring wav2vec phonetic alignment, acoustic feature extraction, and adaptive progression algorithms deployed as scalable microservices.
Project Metadata
Key Technical Capabilities Delivered
Architectural components engineered specifically to resolve the client's scaling hurdles.
Real-Time Phonetic Feedback
Sub-120ms pronunciation scoring comparing learner acoustic waveform against native speaker phonetic models.
Adaptive Learning Sequences
Machine learning algorithms that identify grammatical and vocabulary blind spots to customize subsequent lesson modules.
Tutor Analytics Dashboard
Comprehensive oversight interfaces for educators detailing student retention, progress velocity, and common phoneme challenges.
Technologies Used
Build Fast, Scale Reliably
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Validate Data Strategy
Technical audit and architecture blueprint to validate pipeline viability.
Build Data MVP / Foundation
Production-ready automated pipeline and live analytics lakehouse delivered in just 20 days.