Beyond Verbal

develops Voice Enabled AI to create proprietary vocal biomarkers for personalized healthcare screening & emotion monitoring.

The growth of home health and telehealth offering highlighted the need for a scalable solution to provide passive information on people’s physical and emotional health to optimize their treatment and reduce cost to the healthcare system.

To answer this need, Beyond Verbal is developing Voice Enabled AI to create proprietary vocal biomarkers for personalized healthcare screening & monitoring and health emotions.

In 2012, we started the company with detection of emotions over voice, following more than 20 years of research. Recently we shifted our focus to healthcare by developing the vocal biomarkers technology, and maintain the emotions module for wellness and mental health purposes.

The technology was created by an Israeli core team of world-class engineers and data-scientists, including PhDs, in such areas as computational neuroscience, high energy and quantum physics.

Vocal Biomarkers

Vocal Biomarkers*, powered by Beyond Verbal’s AI algorithm, are a result of free speech analysis providing non-intrusive, continuous and scalable information on patients’ health.

Clinical data demonstrated that by using AI machine learning and deep learning techniques, we can predict and monitor chronic diseases having initial successful results in:

  • Detecting Coronary Artery Disease (CAD) by the voice – through joint research with the Mayo clinic1
  • Predicting hospitalization and mortality among CHF patients2
  • Indicating the existence of COPD, CHF, Sleep Apnea and other diseases by voice

Having access to a large patients’ database with correlated voice recordings on other health conditions, such as Cancer, Hypertension, Diabetes and others, we are busy with building new vocal biomarker prediction algorithms. For this purpose we are using a proprietary speaker diarization tool enabling almost full automation.

* Vocal biomarkers are currently not available for sale and their use might require regulatory clearance.

1.Maor, E., Sara, J.D., Orbelo, D.M., Lerman, L.O., Levanon, Y., and Lerman, A. Voice signal characteristics are independently associated with coronary artery disease. Mayo Clin Proc. 2018;93: 840–847a

2.E. Maor1, I. Mazin1, D. Tel-Zur2, N. Taiblum2, Y. Luz2, D. Perry2, Y. Levanon2, G. Koren3, V. Shalev3 – (1) Chaim Sheba Medical Center, Tel Hashomer, Israel (2) Beyond Verbal Communications, Tel Aviv, Israel (3) Kahn-Maccabi Institute of Research and Innovation; and Tel Aviv University, Tel Aviv, Israel. Vocal Biomarker Predicts Long Term Survival among Heart Failure Patients [abstract presented at the European Society of Cardiology]

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Emotion AI

Due to the upscaling importance of AI technologies and the necessity of machines and humans to understand each other – Emotion AI has become one of the hottest technology trends where Beyond Verbal is leading the global effort in providing a voice-based platform integrative with all kinds of existing solutions.

Though we have shifted our focus to healthcare solutions Beyond Verbal’s Voice Enabled Emotion AI engine is still available through a cloud-based API.

It provides a variety of emotional parameters, all essential for understanding the overall emotional state of the speaker in real time and over time (continuously).


HIMSS 2019

Feb 12-14,

Orlando, Florida.
Booth #3559

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R&D center 125 Yigal Alon St., Tel Aviv, Israel