SonoVoice offers a handheld device that continuously records acoustic and physiological voice data, providing real‑time analytics on vocal load, fatigue, and technique. The cloud platform lets clinicians and vocal performers monitor metrics, track trends, and receive personalized recommendations for therapy or training, enabling remote supervision and evidence‑based voice care.
Funding
Funding not disclosed
Founders
Product
Problem
Vocal professionals and individuals often lack objective, continuous data on voice usage, making it difficult to detect early signs of strain, injury, or suboptimal performance. Traditional assessments rely on intermittent, subjective evaluations that may miss gradual deterioration.
Solution
SonoVoice provides a handheld health‑tech device that continuously records acoustic and physiological parameters of the voice, delivering real‑time analytics on vocal load, fatigue, and technique. The device syncs with a cloud platform where clinicians and vocal athletes can view objective metrics, track trends over time, and receive personalized recommendations for therapy, training, or performance adjustments. Remote monitoring capabilities enable practitioners to supervise patients or students outside the clinic, while built‑in analytics support evidence‑based decision making for voice care and optimization.
Target Audience
Primary users are voice clinicians (speech‑language pathologists, otolaryngologists) and vocal athletes such as singers, actors, teachers, and public speakers who require ongoing vocal health assessment and optimization.
Features
- Portable, battery‑powered handheld sensor that captures high‑resolution acoustic signals and vocal fold vibration data during everyday speaking or singing
- Continuous monitoring with automatic detection of strain patterns, pitch stability, and breath support metrics
- Cloud‑based dashboard offering longitudinal visualizations, alerts for potential injury, and customizable goal tracking
- Secure data sharing that allows clinicians to remotely review patient recordings and adjust treatment plans in real time
- Integration of evidence‑based algorithms for personalized voice‑care recommendations and performance feedback