Natural Language and Voice Recognition
- Created by: miacampbell31
- Created on: 29-04-22 14:26
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- Natural Language and Voice Recognition
- Features of Voice Input
- A microphone attached to a soundcard is used to capture speech.
- The signal is converted from analogue to digital using sampling.
- The digital signal is compared to a database of sounds for a matching pattern of frequencies.
- The signal is converted from analogue to digital using sampling.
- Advantages
- -No training is required in the use of the application.
- -Accurate spelling of words for users with literacy problems.
- -For those with limited mobility it is a more effective method of input.
- Disadvantage
- -Prone to interference
- -User may be required to speak more slowly and louder than normal.
- -May only recognise a limited range of voices / must be trained specifically to recognise a user's voice.
- Software required: Microphone driver as well as compression SW and voice recognition software.
- A microphone attached to a soundcard is used to capture speech.
- Features of Natural Language
- Allows the user to interact using written 'human' language, or spoken commands, instead of computer language and commands that are associated with specific tasks.
- Verbs/Phrases are used to instigate functionality, such as creating, selecting, modifying data.
- Sounds are stored in a database and the user input is compared with these.
- Speed recognition software is used.
- Hardware required: A microphone and a sound card.
- Features of Voice Input
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