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Voice Recognition Solutions for Speech-Enabled Systems

 'Utilising voice recognition technology' refers to the ability of applications to recognise human speech and convert that into text and/or commands. Voice recognition technology is critical in speech-enabled applications such as virtual assistants, call centre automation or voice-controlled devices. 

In a business capacity, voice recognition improves both the accessibility of applications and the ability of employees to perform their job functions via hands-free access. The majority of voice recognition technologies are used in a support capacity, including but not limited to healthcare, customer service, logistics, and enterprise applications.

Voice recognition is supporting the following applications in IT/ITES service delivery: 

(i) automated call routeing, 

(ii) voice-based transcription, 

(iii) voice biometrics. 

Automating these processes will reduce the amount of time and effort spent on these processes.

Modern-day voice recognition systems leverage machine learning technologies that provide the ability to recognise different accents, speech patterns and background noise. As machine learning models learn continuously, the level of accuracy improves as well.

As a result of providing customers with a natural voice experience, voice recognition applications are helping create a better user experience by streamlining enterprise operations and supporting the demand for Digital Voice Interface (DVI) solutions.

AI & ML