1. A method for achieving emotional Text To Speech (TTS), the method comprising: receiving a set of text data; organizing each of a plurality of words in the set of text data into a plurality of rhythm pieces; generating an emotion tag for each of the plurality of rhythm pieces, wherein each emotion tag is expressed as a set of emotion vectors, each emotion vector comprising a plurality of emotion scores, where each of the plurality of emotion scores is assigned to a different emotion category in a plurality of emotion categories; determining, for each of the plurality of rhythm pieces, a final emotion score for the rhythm piece based on at least each of the plurality of emotion scores; determining, for each of the plurality of rhythm pieces, a final emotional category for the rhythm piece based on at least each of the plurality of emotion categories; and performing, by at least one processor of at least one computing device, TTS of the set of text data utilizing each of the emotion tags, where performing TTS comprises decomposing at least one rhythm piece in the plurality of rhythm pieces into a set of phones; and determining for each of the set of phones a speech feature based on: 
 F i =(1− P emotion )* F i-neutral +P emotion *F i-emotion wherein: F i is a value of an i th speech feature of one of the plurality of phones, P emotion is the final emotion score of the rhythm piece where one of the plurality of phones lies, F i-neutral is a first speech feature value of an i th speech feature in a neutral emotion category, and F i-emotion is a second speech feature value of an i th speech feature in the final emotion category.
1. A method for achieving emotional Text To Speech (TTS), the method comprising: receiving a set of text data; organizing each of a plurality of words in the set of text data into a plurality of rhythm pieces; generating an emotion tag for each of the plurality of rhythm pieces, wherein each emotion tag is expressed as a set of emotion vectors, each emotion vector comprising a plurality of emotion scores, where each of the plurality of emotion scores is assigned to a different emotion category in a plurality of emotion categories; determining, for each of the plurality of rhythm pieces, a final emotion score for the rhythm piece based on at least each of the plurality of emotion scores; determining, for each of the plurality of rhythm pieces, a final emotional category for the rhythm piece based on at least each of the plurality of emotion categories; and performing, by at least one processor of at least one computing device, TTS of the set of text data utilizing each of the emotion tags, where performing TTS comprises decomposing at least one rhythm piece in the plurality of rhythm pieces into a set of phones; and determining for each of the set of phones a speech feature based on: 
 F i =(1− P emotion )* F i-neutral +P emotion *F i-emotion wherein: F i is a value of an i th speech feature of one of the plurality of phones, P emotion is the final emotion score of the rhythm piece where one of the plurality of phones lies, F i-neutral is a first speech feature value of an i th speech feature in a neutral emotion category, and F i-emotion is a second speech feature value of an i th speech feature in the final emotion category. 11. The method according to claim 1 , wherein determining for each of the set of phones a speech feature further comprises: determining if the final emotion score of the rhythm piece where the phone lies is greater than a certain threshold, based on: 
 F i =F i-emotion .