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Speech to Text

Back to 1952, the first Speech-to-Text was introduced in form of a voice recognition. That was more than half a century ago. Speech-to-Text technology has a long history and has come a long way from first only attempting to recognize digit to nowadays capable of picking up the speaker’s intent in the context of natural language.

In one context, Speech-to-text is much like voice recognition, but instead being able to translate human whole speech into text aka. to transcribe. Not only does it convert speech (Audio File) into text (text), it also can enumerate words. That man can speak into the microphone Phone or other device and almost 100% of all vocabularies are correct, independent of the size of the vocabulary. The sound of the voice and the pronunciation of the speaker. The system hears voices and decides what sounds to hear.

With such ability, Text-to-speech technology offers several benefits. Speech-to-text can be used in a wide variety of applications such as the Health Care industry. Those who utilize this technology are administrators and doctors, nurses, pharmacists who are not good at typing.

The technology can also be used for other purposes such as automatic translation, car navigation, telematics, court reporting or real-time voice writing, hands-free computers, phones. Robots, video games, Interactive Voice Response (IVR), Speech-to-text (Voice translation) and air traffic control. In other use, this technology can also be used to command an automatic pilot system. (Autopilot), installed radio frequency or flight control display, etc.

International applications that use this technology are quite common such as autoresponder, such as airfare. Inquiries for movie screenings or to order electrical equipment with sound.

Technology is an important part of ASR, called Hidden Markov Model (HMM). This technology is able to understand words. By distinguishing and estimating the probability of the components of the underlying unit of the adjacent sound. It is based on the principle that each sound has its own boundaries and characteristics.

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