Speech recognition works according to the algorithms through acoustic and language modeling. Acoustic modeling defines the relationship between linguistic units of speech and audio signals; and the job of language modeling is to match sounds with word sequences that will help to distinguish between words that sound similar.
With the help of its dictation ability, users can control devices and create documents by speaking. This results in faster creation of documents.
Businesses providing customer services also benefit by improving self-service in a way that enhances customer experience as well as reduces organizational costs.
With its help, callers can input information like name, account number, the reason of their call etc. without interacting with a live agent.
Instead of making callers remain idle on hold when agents are busy, organizations can engage their callers without live customer representatives. This is how speech recognition technology contributes to cost savings by minimizing the need of live agents and improving customer experience
This technology is also used during the interview session. The robots can interpret what the interviewee is speaking and make candidate selection on that basis.
Digital personal assistants like Alexa and Google Home require verbal communication between humans and computers. These are great examples of how machine learning is used by systems for better understanding of speech over time through experience.
There are a number of people with visual impairments who are dependent on screen readers and text-to-speech dictation systems. So, conversion of audio into text can be a critical task for the hearing-impaired.
When your eyes and hands are busy doing a particular task, then speech is incredibly useful. If you want to communicate with Apple’s Siri or Google Maps, speech recognition does the work for you
Speech recognition technology has already become a part of our everyday lives, but it is still limited to relatively simple commands. With the advancement in technology, researchers will be able to create more intelligent systems that understand conversational speech. One day, it will be possible to talk to your computer in the same way you would talk to any human, and it will be able to transmit reasoned responses back to you. All this can be made possible by signal processing technologies. The number of specialists required in this field are growing, and many companies are looking for talented people who will like to be a part of it. Processing, interpreting and understanding a speech signal is the key to several powerful new technologies and methods of communication. Given current trends, speech recognition technology will be a fast-growing subset of signal processing for years to come.