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Speech recognition technology for speech disabilities (TOIL20170801001)


 ISRAEL

Technology collaboration OFFER
Created: 02/08/2017
Last updated: 10/08/2017
Fecha límite: 10/08/2018

Resumen

An Israeli SME developed a speech recognition technology, enabling people with severe speech impairments to communicate naturally using their own voices. Its algorithm is customized to the speaker, hands-free, language-agnostic, patent-protected. Targeted partners are disabilities organizations for testing and distribution (in a technical cooperation or research agreement); and technology companies interested in integration into hardware devices or smart home systems (in a license agreement).


Partnership(s) sought

  • License agreement Technical cooperation agreement Research cooperation agreement

Descripción completa

The Israeli SME that has developed the speech recognition technology is a software company based in Israel, in the field of speech recognition and serving people with disabilities and other stakeholders in the disabilities community, including caregivers, medical professionals, insurance companies, biomedical researchers and healthcare providers and administrators.

Millions of children and adults find verbal communication a nearly insurmountable task. The underlying causes of their speech disorders vary widely, including ALS and parkinson’s, stroke, traumatic brain injury, autism and cerebral palsy. The company’s target market is the voice-disordered population worldwide, as well as their caregivers and families, voice researchers, speech therapists and medical professionals. Existing interventions include head tracking, eye tracking and communication boards, represented primarily by eye-tracking technologies, and dedicated devices and assistive software applications for communication. By contrast, the company has developed the only assistive solution which will enable people with speech impairments to communicate by voice and be understood.

The company’s goal is to restore confidence and independence in end users, enabling them to join professional and recreational situations with ease and ultimately improving their quality of life. It also reduces or eliminates the need for continuous presence of a caregiver which not only increases independence, but also decreases costs more generally in health systems paying for ongoing care for their elderly or disabled. Its machine learning capabilities enables the system to learn and adapt as the person uses it, even if the user’s voice changes over time or over the course of a debilitating disease. It also provides security for families knowing that they have a reliable solution for their aging or disabled family member to communicate when needed. It also provides specific benefits for both children and the elderly target market.

More versatile than any assistive communications software currently available, the software can add a crucial accessibility component to existing speech recognition systems, and also be integrated into smart cars, smart homes, attached to wheelchairs, and be used for emergency phone calls or as a machine facilitator of tele-health. Future trends point towards voice recognition as its functions and features enable control on multiple levels, bringing enhanced quality of life for both users and those close to them, and helping to remove any feelings of exclusion for patients with speech impairments.

The voice recognition market is directly related to smartphones and growing at a CAGR (compound annual growth rate) of over 10% and is being spearheaded by the most dominant of players – Nuance with IBM, Google and Apple all of them not without the resources and the vision to take their voice enabled technologies and applications into new frontiers, facing territories once dominated by Nuance. Corporate partners mentioned previously such as Apple, Amazon, Microsoft, Google, IBM are all potential partners for the improvement of their existing speech recognition technologies and the growth of the voice recognition market.
The company’s technology can represent not just an important milestone in the evolution of medical devices but a milestone in speech recognition more generally. The technology’s versatility may lead the company to subsequently expand the application outside the speech-impaired patient market to the wider speech-to-text market.

Targeted partners are disabilities organizations, hospitals, schools and care centers for testing and distribution (for instance, through a technical cooperation agreement); and technology companies interested in technology integration into hardware devices or smart home systems for disabilities populations or the elderly (possibly through a license agreement).


Socio buscado:

- Specific area of activity of the partner: Healthcare / Disabilities: The Israeli SME is looking for:

1) Disabilities organizations (hospitals, schools, care centers) to be involved in product testing and distribution (currently the project is in Beta);

2) Technical collaborations involving software integration: technology companies interested in technology integration into hardware devices or smart home systems for disabilities populations or the elderly.


Advantages & innovations:

- Speech recognition algorithms that can recognize impaired speech
- Easy-to-use software application
- Language-independent
- Machine learning capabilities adapt to the user’s speech over time
- Hands-free during recognition and use.
- Does not require any expensive device or technical expertise
- Current options for assistive communications devices are expensive, unnatural, and awkward to use. Most importantly, however, none of the current devices on the market employ the user’s own voice, and therefore are not the Company’s direct competitors.
- Ultimately the company’s vision is integration into existing operating systems and devices: speech recognition truly accessible to everyone. Patent-protected


Development Stage:

Available for demonstration - Currently beta testing


IPR:

Patent(s) applied for but not yet granted,Patents granted - US patent awarded for novel speech recognition. Others applied and pending.

Clasificado como: Medicine and Health


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