speech-pathology-ai

Real-time phoneme analysis uses AI models like wav2vec 2.0 to score articulation accuracy instantly, providing immediate feedback for therapy sessions. The Skill automates phoneme detection and scoring, cutting assessment time and enabling objective, data-driven intervention guidance for both pediatric and adult clients.

Yes. The Skill supports cross-platform deployment and integrates with platforms like Mellifluo.us, delivering real-time feedback loops within existing therapy workflows. It handles latency under 200 ms, enabling seamless in-session pronunciation coaching and fluency intervention guidance.

Automated phoneme analysis powers articulation scoring, fluency interventions, adaptive practice sequencing, and AAC integration. The Skill uses LPC-based formant extraction and PERCEPT-R scoring to recommend evidence-based intervention strategies tailored to each client's pronunciation patterns.

Run the Skill on sample audio to receive phoneme analysis scores and feedback. The system processes wav files in real time, extracting formants and comparing pronunciations against phoneme targets, then outputs articulation scores and targeted intervention recommendations.

The Skill meets strict latency constraints under 200 ms and supports secure cross-platform deployment. It handles both pediatric and adult speech contexts with adaptive sequencing, making it suitable for clinical and educational environments where responsiveness is critical.

AI phoneme analysis removes subjective bias, delivers consistent objective scores, and operates in real time—eliminating delays between assessment and intervention. Automated scoring with wav2vec 2.0 and LPC formant extraction enables faster turnaround and more precise feedback than human-only assessment.