Normally, people use different speaking styles to communicate. It all depends on the contexts and emotions among other factors. For instance, a TV presenter will use different emotions and styles when they are presenting different headlines on the news. The TTS technology has developed so much that they system can learn to use a different style after a few hours or days of training and developing the data. This means they will adopt several speaking styles using completely different contexts depending on who they are speaking to and what they are speaking about. There are two main ways in which speech is produced; the concatenative methods and the neutral networks sound production. To many, the neutral network produce a synthetic speech that sounds more natural while the speech snippets stored on the audio database is just not authentic. Most TTS can provide a neutral accessibility through the synthesised speaking style. Both the male and female text to speech of particular software can offer the same range of emotions and context with a difference in only voice and sound factors
A neutral TTS system can offer a network that converts basic language units into snaps of energy sequences that come in several frequency ranges or maybe into a continuous audio signal. A neutral system is made of a sequence model that does not calculate the information based on the inputs but rather considers the sequence of the input. To create high quality sounding voices, the system is trained to create a sequence using lard data sets that are used as inputs. Even though the sounds and voices appear to be high quality, they must be edited to display expressions like commas, full stops, a rhythm and pitch among others. You will requires countless hours of speech to train a sequence system into producing high quality data and speech.