Automated speech scoring

The use of computational techniques — including voice activity detection, phoneme recognition, prosody analysis, and speaker diarization — to automatically evaluate the accuracy and quality of speech production without requiring real-time human assessment. In speech therapy contexts, automated scoring enables children to practice exercises at home with immediate feedback while allowing speech-language pathologists to review aggregated results remotely. Current systems achieve moderate accuracy (74-96% depending on the analysis module) and serve as complements to, not replacements for, human clinical judgment.