Category Computers

scriptoman transcript

Posted on Thursday 18 August 2022

scriptoman transcript

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Why is audio to text transcription necessary?
With the advent of computers came the need for people to communicate with them. Over time, several ways of communication have been created. can be grouped into:
- commands in an agreed vocabulary, fixed and limited to what is already recorded in the computer's memory, the command line interface (CLI).
Commands are transmitted through the keyboard, cards, punched tape, magnetic support, etc.
- graphical controls (GUI), via keyboard, mouse, joystick, etc.
- voice commands, with the human voice (VUI).
Since the beginning, there has been concern about the development of these types of interfaces.
The development of the VUI type interface was a concern under the name of voice recognition and which generated many studies and research.

Why is audio to text transcription necessary?
With the advent of computers came the need for people to communicate with them. Over time, several ways of communication have been created. can be grouped into:
- commands in an agreed vocabulary, fixed and limited to what is already recorded in the computer's memory, the command line interface (CLI).
Commands are transmitted through the keyboard, cards, punched tape, magnetic support, etc.
- graphical controls (GUI), via keyboard, mouse, joystick, etc.
- voice commands, with the human voice (VUI).
Since the beginning, there has been concern about the development of these types of interfaces.
The development of the VUI type interface was a concern under the name of voice recognition and which generated many studies and research.
How is audio to text transcription done?
For this purpose, the site uses algorithms and models for structuring human language, in over 120 languages spoken throughout the world in different countries and continents. of course, the languages spoken by as many people as possible are included, including: English, Spanish, Chinese, German, French and their many dialects. The site uses the three important elements in voice recognition: Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generator (NLG). through machine learning procedures and the use of appropriate datasets, it is possible to obtain an accuracy of over 90% under appropriate recording conditions.

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