Case Studies

Technical projects from R&D to production

Featured case study18 months initial build; ongoing development

Clinical Voice Analysis SaaS — Speech Therapy Platform with 170+ ML Modules

Context

A clinical voice analysis platform serving speech-language pathologists. The platform needed to replace manual Praat/Excel workflows with real-time automated analysis, covering 170+ validated acoustic measures across multiple clinical protocols.

Challenge

No existing open-source platform covered the AVQI, DSI, CPP, jitter/shimmer, formant, and prosody measures needed
Clinical data sensitivity — GDPR compliance and Swiss data residency required
Multiple stakeholder types: clinicians, patients, researchers, administrators
Real-time waveform and spectrogram visualization at clinical quality
Integration with clinical databases and export to standard formats

Approach

Built a full-stack SaaS platform on Azure with OVHcloud-Switzerland storage for data residency. The audio processing pipeline was built on Python/FastAPI, with a React frontend. The DSP layer implemented 170+ acoustic measures using librosa, Praat via Parselmouth, and custom C/WASM modules for real-time performance.

ML components included: Wav2Vec2-based pronunciation assessment, eGeMAPS feature extraction via openSMILE, speaker verification, and pathology classification models trained on clinical datasets. A multi-agent AI system generated personalized therapy plan suggestions.

Outcomes

170+ acoustic measures computed in real-time

30+ supported languages for speech analysis

GDPR-compliant architecture with Swiss data residency

Multi-stakeholder role system (clinician, patient, researcher, admin)

AI-generated therapy plans with citation backing

Tech stack

PythonFastAPIReactAzureOVHcloudWav2Vec2openSMILE eGeMAPSPraat/ParselmouthlibrosaC/WASMPostgreSQL

The platform was later commercialized as Vocametrix.