If you fancy learning important phrases from another language, but don’t want to shell out big bucks, the free iSpeech Translator Pro is just what you need. After selecting your native tongue and the target language, you key in – or speak – a phrase; iSpeech processes the information and spits out a translation, not only with speed, but also with accuracy.

Chinese, Dutch, English, Japanese, Italian, French, Finnish, Russian, and Spanish are just a few of the included languages.

Technically, the working of a voice recognition system can be stated thus: When a person speaks, vibrations are created. The speech recognition technology converts these vibrations, i.e. analog signals into a digital form by means of an analog-to-digital converter (ADC).

Digitization of sound takes place by its measurement at regular intervals. The sound is filtered into different frequency bands and normalized, so that it attains a constant volume level.

It is checked whether the sound matches with the already stored sound templates. The next step in the speech recognition procedure is dividing the analog signals into segments that range from a few hundredths to thousands of a second.

These segments are matched with phonemes that are already stored in the system. Phonemes are specific sounds that are understood by people speaking a particular language. The statistical modeling system, which uses mathematical systems and probability, play an important role in today’s speech recognition systems.

These systems are used to determine or predict the outcome after a particular phoneme. It becomes easier to predict where a particular word begins and ends.

The Hidden Markov model and Neural Networks are the two statistical modeling systems, out which the former is the one commonly used. Then from the data base, equivalent phrases from other languages are chosen.

Interesting, right? Get the app for free here.