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Voice Recognition technology Write for Us.
Voice recognition is an interdisciplinary field of computer science and computational linguistics that helps to develop the methodologies and technologies which qualify the recognition of and transformation of spoken language and texts with the help of computers. It is called automatic voice recognition [ASR], computer voice recognition [CSR], or voice-to-text [STT]. It merges the knowledge and research in computer science, computer engineering, and linguistics tracts. The inverse process is voice synthesis.
Some of the voice recognition systems may require solely, which is also known as enrollment. It is where only one person speaks and reads the texts or the isolated vocabulary into the system. This system examines the particular person’s voice and uses it to fine-tune the recognition of that person’s speech, resulting in increased accuracy. Techniques which does not use training are called “speaker-independent” systems. The systems which use the movement are called “speaker dependent.”
Voice recognition utilizing includes the voice user interface like voice dialing. Examples are calling home, collecting calls, call routing, domotic appliance control, search keywords, simple data entry, preparation of structured documents, determining speaker characteristics, emails, word processor, and aircraft. If we see from a technological perspective, voice recognition has a long history with several waves of major creations.
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Search related terms
The terms associated with this topic are below:
- Interdisciplinary
- Translation
- Computer science
- Computer engineering
- Vocabulary
- Voice user interfaces
- Domotic
- Emails
- Word processors
- Big data
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