Indian Languages such as Hindi is phonetic in nature. The TextTo-Speech (TTS) System for Hindi, exploits the phonetic nature of Hindi .The algorithm developed by us involves analysis of a sentence in terms of words and then symbols involving combination of pure consonants and vowel technique. Wave files are being merged as per the requirement to generate the modified consonants influenced by matras, phalas and yuktaksharas generate the speech from a text. Vowels are most important classes of sound in most Indian languages. The duration of vowel is longer than consonants and is most significant. Vowels are categorized as starting middle & end according to the duration of occurrence in a word. Speech unit database consisting of vowels (starting ,middle and end)and consonants is developed.

Telugu is one of the oldest languages in India. This paper describes the development of Telugu Text-to-Speech System (TTS) using vowel classification. Vowels are most important class of sound in most Indian languages. The duration of vowel is longer than consonants and is most significant. Here vowels are categorized as starting middle and end according to the position of occurrence in a word. The algorithm developed by us involves analysis of a sentence in terms of words and then symbols involving combination of pure consonants and vowels. Wave files are being merged as per the requirement to generate the modified consonants influenced by deergalu (vowel sign) and yuktaksharas generate the speech from a text. Speech unit database consisting of vowels (starting, middle and end) and consonants is developed. We evaluated our TTS using Mean Opinion Score (MOS) for intelligibility and voice quality with and without using vowel classification from sixty five listeners, and got better results with vowel classification.