Speech Recognition

Automate and simplify the Management of Clinical documentation with the automatic transcription of the Voice of Social and Healthcare Professionals. Reduce the administrative burden on staff, allowing greater concentration on service user care and more effective management of Social and Health information.

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Functionality

Speech-to-text transformation: Automatically converts speech into written documentation.
Integration with Social and Health Records: Directly inserts the transcribed texts into the records of the users of the service.
Custom Speech Recognition: Adapts to individual voices for greater accuracy.
Reduced Bureaucratic Workload: Less time spent on manual writing.
Increased Data Accuracy: Reduces transcription errors.
Quick and Easy Access: Allows staff and service users to record information hands-free.
Secure Transcript Archiving: Maintains a secure and accessible record of voice memos.

Semantic Speech Recognition system that uses advanced artificial intelligence technologies, which access the understanding of the general meaning of what is said and avoid the typical errors of traditional voice recognition systems.

A distinguishing feature of the module is its ability to operate effectively even in noisy environments. This is crucial in Social and Health Care, where operators often have to work in crowded or noisy environments. The technology used in the “Voice Recognition” module is designed to filter out background noise and focus on the user’s voice, thus ensuring clear and accurate voice recognition.

In addition, the module supports the most widely used languages around the world, such as Italian, English, Spanish, German, French, and many others. This wide range of available languages makes the system extremely versatile and suitable for Social and Health Services with international staff and users.

Using the best AI technologies ensures that speech recognition is not only accurate, but also fast and effective. This tool is especially useful for Social and Health documentation and data management of service users, as it allows Social and Health Professionals to verbalise the information without having to interrupt their activities to type it manually.