Abstract
Speech Synthesis functions as a medium which converts text into speech. Speech Recognition and Speech Synthesis plays a vital role in Human-Machine Interaction. Synthesized speeches are extracted from concatenating the pieces of pre-recorded speech utterances from the database. The proposed work converts the written text into a syllables (syllable text representation) using rule based approach and subsequently it converts the syllable representation to modified syllable waveform clips that can be combined together to produce as sound. Syllabic transcription attempts to describe the individual variations that occur between speakers of a dialect or language. Syllable based concatenative synthesis aims to record the syllables that a speaker uses rather than the actual spoken variants of those syllables that are produced when a speaker converse a word. The Concatenative Speech Synthesis methods provide highly understandable speech utterance.
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Ananthi, S., Dhanalakshmi, P. (2015). Syllable Based Concatenative Synthesis for Text to Speech Conversion. In: Jain, L., Behera, H., Mandal, J., Mohapatra, D. (eds) Computational Intelligence in Data Mining - Volume 3. Smart Innovation, Systems and Technologies, vol 33. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2202-6_6
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DOI: https://doi.org/10.1007/978-81-322-2202-6_6
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