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Adding an emotions using prosody manipulation method for Indonesian text tospeech system. Text To Speech (TTS) is a system that can convert text in onelanguage into speech, accordance with the reading of the text in the languageused. The focus of this research is a natural sounding concept, the make"humanize" for the pronunciation of voice synthesis system Text To Speech.Humans have emotions / intonation that may affect the sound produced. The mainrequirement for the system used Text To Speech in this research is eSpeak, thedatabase MBROLA using id1, Human Speech Corpus database from a website thatsummarizes the words with the highest frequency (Most Common Words) used in acountry. And there are 3 types of emotional / intonation designed base. Thereis a happy, angry and sad emotion. Method for develop the emotional filter ismanipulate the relevant features of prosody (especially pitch and durationvalue) using a predetermined rate factor that has been established by analyzingthe differences between the standard output Text To Speech and voice recordingwith emotional prosody / a particular intonation. The test results for theperception tests of Human Speech Corpus for happy emotion is 95 %, 96.25 % forangry emotion and 98.75 % for sad emotions. For perception test system carriedby intelligibility and naturalness test. Intelligibility test for the accuracyof sound with the original sentence is 93.3%, and for clarity rate for eachsentence is 62.8%. For naturalness, accuracy emotional election amounted to75.6 % for happy emotion, 73.3 % for angry emotion, and 60 % for sad emotions.    Text To Speech (TTS) merupakan suatu sistem yang dapat mengonversi teks dalamformat suatu bahasa menjadi ucapan sesuai dengan pembacaan teks dalam bahasayang digunakan.

Penambahan emosi menggunakan metode manipulasi prosodi untuk sistem text to speech bahasa Indonesia