Text to speech and voice recognition software almost work the same except, voice recognition turns your speech into text while TTS turns speech into voice and sound. There are several ways of creating text to speech data all which include pre-recording the sounds and words and creating them into automatic sentences for the software. What problems do the developers face when creating the voice for their text to speech software? There is always the issue of inaccuracy and misinterpretation. The software may fail to recognise the word and pronounce them correctly especially if they are foreign. This can lead to issues with translation and later on misinterpretation. These errors in the system can lead to many issues during text to speech translation. Computerising all the words and data collected takes time, productivity and a lot of resources. Developers spend their time and money trying to get a text to speech mp3 with natural voices containing emotions, intonations and other speech factors put into place correctly.
Dealing with the background noise and interference is an issue for the developers. When are recording the sounds, voices and other aspects, they have to e careful not to record the sounds in the background that may cause a poor voice and sound system. This is why the sounds are recorded in an interference free studio which also costs them too much time and money. Some programmes may have an issue recognising certain languages and how they are pronounced. This can be a deal breaker from people trying to learn a different language using the text to speech as tool. Normally, the text to speech is supposed to give the correct translation and pronunciation of a word in a sentence. If you are used to the TTS, you will find it difficult to read articles, books or even simple texts on your won. Text to speech has made millions of people lazier when paired with latest technology.