Altavo develops non-invasive silent speech technology using RF sensing and deep neural networks to synthesize audible speech. This artificial voice technology aims to restore natural-sounding vocalization for individuals who have lost their voice, such as laryngectomy patients. The platform offers potential applications in speech rehabilitation and various non-medical fields.
Funding
$5.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Patients who have lost their voice box due to laryngectomy often struggle to communicate effectively, impacting their quality of life and social interactions. Existing solutions may be invasive, require extensive training, or produce unnatural-sounding speech.
Solution
Altavo is developing a non-invasive silent speech technology that uses RF sensing and deep neural networks to convert silent articulation movements into audible speech in real time. The technology aims to restore a natural-sounding voice to individuals who have undergone laryngectomy or suffer from other conditions affecting their vocal cords. By capturing and interpreting subtle movements in the vocal tract, Altavo's solution offers a hands-free, intuitive communication method. The system translates these movements into synthesized speech, allowing users to express themselves without the need for surgery or cumbersome devices.
Target Audience
The primary target audience is patients who have undergone laryngectomy and other individuals with voice impairments.
Features
- Non-invasive sensor technology detects silent articulation movements using RF sensing.
- Deep neural networks convert sensor data into audible speech in real time.
- AI-powered speech synthesis generates a natural-sounding voice.
- System is designed to be hands-free and intuitive to use.