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 that 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 sole, 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 that do not use training are called “speaker-independent” systems. The systems that 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 processors, 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
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- Big data
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