The most frequent applications of speech recognition within the enterprise include call routing, speech-to-text processing, voice dialing and voice search.
What is Speech Recognition?
Speech Recognition is the technology that develops methodologies to enable the recognition and translation of spoken language into text by computers. It incorporates knowledge and research in various fields like linguistics, computer science, and electrical engineering. Speech Recognition algorithms use acoustic and language modeling to enable a computer to help process human speech.
It works by learning the unique characteristics of a single person's voice, in a way similar to voice recognition. New users must first "train" the software by speaking to it, so the computer can analyze how the person talks.
It is designed to recognize anyone's voice, so no training is involved. This means it is the only real option for applications such as interactive voice response systems.
Speech recognition software improves efficiency as the need to type is removed from the equations. This can lead to documents being generated upto three times faster than when typed. The ability to go hands-free also is also very useful in situation where notetaking is required in the field or people with certain disabilities.
Towards the end of the twentieth century, speech recognition systems had found a broad range of use in computerized games and toys, control of different instruments, data collection, and dictation. The feature also proved to be of much help among those who could not obtain keypads and among those with certain disabilities.
Speech-to-text software can make document creation more efficient as the need to type is removed.
Delivers quick and efficient customer service for frequently asked questions.
Enables customer agents to focus on more important tasks.
Speech Recognition softwares can be used for automated identification using voice biometrics.