- Speech Recognition, the ability of devices to respond to spoken commands.
- It enables the recognition and translation of spoken language into text.
- Voice recognition systems enable consumers to interact with technology simply by speaking to it, enabling hands-free requests, reminders and other simple tasks.
How Voice Recognition Works?
- Voice recognition software on computers requires that analog audio be converted into digital signals, known as analog-to-digital conversion.
- For a computer to decipher a signal, it must have a digital database, or vocabulary, of words or syllables, as well as a speedy means for comparing this data to signals.
- The speech patterns are stored on the hard drive and loaded into memory when the program is run.
- A comparator checks these stored patterns against the output of the A/D converter and this action is called pattern recognition.
Uses of Voice Recognition Technique:
- You can also use speech recognition software in homes and business.
- A range of software products allows users to dictate to their computer and have their words converted to text in a word processing or e-mail document.
- You can access function commands, such as opening files and accessing menus, with voice instructions.
- Some programs are for specific business settings, such as medical or legal transcription.
Real Time Applications of Speech Recognition Technique:
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| Google Mini Home and Amazon Alexa Used to control Home Appliances |
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| Used in Robotics |
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| Voice Operated Cars |
- Voice recognition technology can quickly turn your spoken word into written text.
- This is useful for people with visual impairments and those with physical problems that make typing on a keyboard difficult.
- In organisations, it increases productivity, reduces costs and errors.
- System don't work so well if there is a lot of background noise.
- Voice recognition may not be capable of choosing the correct meaning. For example, it cannot always differentiate between homonyms, such as "their" and "there".
- It may also have problems with slang, technical words and acronyms.