14. A system for achieving emotional Text To Speech (TTS), comprising: at least one memory; and at least one processor communicatively coupled to the at least one memory, the at least one processor configured to perform a method comprising: receiving a set of text data; organizing 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, 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.
14. A system for achieving emotional Text To Speech (TTS), comprising: at least one memory; and at least one processor communicatively coupled to the at least one memory, the at least one processor configured to perform a method comprising: receiving a set of text data; organizing 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, 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. 16. The system of claim 14 , wherein the method further comprises: adjusting, for at least one of the plurality of rhythm pieces, at least one emotion score in the plurality of emotion scores according to a context of the rhythm piece; and determining the final emotion score and the final emotion category of the rhythm piece based on the plurality of emotion scores comprising the at least one emotion score that has been adjusted.