How does speech recognition work

How does speech recognition work

Speech recognition technology, in recent years have become a very popular concept in recent years. It has increasingly closed the gap between both human and machine dictation. The dictation ability it provides is one of the notable advantages of this technology. Not only controlling devices, but also create documents by speaking with the help of this wonderful technology.

Speech recognition can entitle documents to be generated swiftly as the software can make or produce words as fast as they are articulated, which tends to be more faster than a person can type.

Applications of speech recognition includes certain voice user interfaces such as call routing, voice calling, simple data entry, search, domotic appliance control and speech-to-txt processing. Organizations that requires substantial transcription works and also the individuals use dictation software broadly.

Invaluable contributions are made by this technology. In many businesses, customer service are given and they benefit from the technology in order to upgrade self-service in such a way that enhances the experience of customers  and organizational costs are reduced.

There are front-end and back-end speech recognition element. Front-end recognition of speech allows the authors to potentially create, format and edit documents by using speech in real-time. And the transcriptionists are allowed to grab an automatically typed document to simply edit the text or archive. The processes are transparent.

Technical overview

Speech recognition provinces as a pipeline which transform Pulse Code Modulation digital audile from a sound card into recollected verbal expression.


 Elements of the pipeline includes:

•    Transform the PCM digital audio into a finer auditory representation.
•    Apply a “grammar” so the speech recognizer knows what occurrences to expect. A grammar could be anything from a context-free grammar to full-blown Language.
•    Sort  out which phonemes are uttered.
•    Change the phonemes into words.

Some challenges are faced by this technology.  Sometimes the application misrecognizes the user input . so providing greater error handling facilities should be done.  On the other hand, it also has many strengths. Recognition of speech refers to be the best way to handle a lot of applications. Some traditional phone applications require users to steer long and confused menus and submenus. An input  user needs to realize that he  is limited to only a small number of possible choices, and they must recall the exact number to press.

An automated telephony system, known as the Interactive voice response, having a speech enabling option allows users with greater versatility. Speech systems are formed around asking users questions and permitting them to respond in a way that is natural and instinctive. Speech supplications can also present users with more choices at any given time, as they are not particularly restrained by the number of keys on a phone keypad nor do users have to memorize any uncertain numerical choices. Through their reciprocal actions, users can simply say what they look for and get their results much faster.

New types of applications can be opened up. Router calls become trouble-free  for users, since they do not necessitate to know how a names be spelled in order to say it. It becomes easier for users who are driving or otherwise incompetent of looking at keypads to interact with a system.

Open-ended inputs can be bestowed by users  that would not be possible in standard Dual tone multi frequency systems i.e. identifying the city and state for a phone number directory, choosing a specific color or make of car, choosing toppings on a pizza, dialing a number by saying the name of a person, and looking up addresses are generally  all examples of responses that would not be so simple in traditional IVR applications.

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