Speech synthesis, a process of making artificial speech, has been one of a research area for thernlast many decades. But, even if there are several techniques of producing synthetic speech, yet itrnis still challenging to find one that overcomes all the limitations. Although there are challenges,rnsynthetic speech is pertinent in many areas like in teaching and learning process,rntelecommunication, as aid for handicaps and so on.rnThis study introduces a new method of formant-based speech synthesis for Amharic vowels. Thernmodel described in this work has two major parts. The analysis part: that handles the textrnanalysis (transcription of the input word) and extraction of the speech parameters. The synthesisrnpart: that generates the artificial speech. In the new model, smaller speech units like phonemesrnand the like are not stored in the database rather the speech parameters are stored. This highlyrnminimizes the memory requirement of the speech synthesizer than other synthesizing methods.rnAt run time, the CART machine selects best parameters from the database that exactly or closelyrnmatches to the contexts of the input vowel. At the same time the acoustic parameters of the filernwill be passed to the Formant Synthesizer to synthesize vowels from the given context of a word.rnThe system is evaluated using MOS, one of the most popular testing techniques in speechrnsynthesis. Experimental results showed that, the system has provided high flexibility of a speechrnwith low memory and also data requirements. On average, 88.85% of the vowels are correctlyrnrecognized by the listeners.rnKeywords: Speech Synthesis, Formant, CART, Transcription, MOS