Welcome to SpeechTyping.com
Speech to text, a dream for decades now comes true. You can type by just speaking. The speech to text system works with a speech recognition system; which recognizes your voice and convert it into text. It's much faster than conventional keyboard typing.
Now, you can just plug in your microphone, start speaking and the speech texter will convert it into text. We bring this facility 100% free for you. So what you are waiting for just select your language from below and start speak to get text typed on screen.
18. Bahasa Malay Speech to Text
19. 60 Languages Speech to Text
For Translation between Indian Languages Click on India Translate
Note 1 : This software works only in Google Chrome (Version 25 or higher) Browser. If you are using another browser, it will not work. Download and Install Google Chrome Here.
You use it to type anything, anywhere, anytime. This will help you very much in completing your day-to-days tasks and save lots of time and money. You could type articles, blogs, emails etc. by using speech to text services. Currently speech typing support all major Indian languages along with Major foreign languages like English, Spanish, French, German, Portuguese, Russian, Italian, Polish, Indonesian, Malay and More than 60 languages.
Let's Explore Speech Recognition
Speech to Text (STT) - is an assistive technology tool that can write words by speaking them aloud.
Automatic Speech Recognition (ASR) - is a technology that allows us to use our voices to speak with a computer interface in a way that like human conversation.
Speech-to-Text is also known as "dictation-to-text", "voice-to-text", "speech typing", "voice typing" or “speech recognition” technology.
When the microphone receives the speech, an analog to digital converter used to convert your spoken sound waves into digital counter part. First of all this digital data is filtered by the software and unwanted ambient noise is removed. This digital data is divided into small segments called "Phonemes". The users Phonemes are then matched with known phonemes. For example : there are roughly 40 phonemes in the English language. A statistical model is used to run the contextual phoneme and compared to a large library that is fitted inside of known words and sentences. Than the software identifies with respect to the context of the input and selects what fit them best and gives that as an output on the screen in the form of readable text.
