An Algorithm Based on Empirical Methods, for Text-to-Tuneful-Speech Synthesis of Sanskrit Verse
Rama N., Meenakshi Lakshmanan

TL;DR
This paper introduces a novel empirical algorithm for synthesizing tuneful speech from Sanskrit text, enabling accessible audio rendering of verses for visually impaired users.
Contribution
It presents a unique empirical approach and a reduced database for high-quality Sanskrit verse speech synthesis, addressing a previously unsolved problem.
Findings
Effective synthesis of Sanskrit verse speech demonstrated
Reduced database size achieves high-quality output
Potential accessibility benefits for visually impaired users
Abstract
The rendering of Sanskrit poetry from text to speech is a problem that has not been solved before. One reason may be the complications in the language itself. We present unique algorithms based on extensive empirical analysis, to synthesize speech from a given text input of Sanskrit verses. Using a pre-recorded audio units database which is itself tremendously reduced in size compared to the colossal size that would otherwise be required, the algorithms work on producing the best possible, tunefully rendered chanting of the given verse. His would enable the visually impaired and those with reading disabilities to easily access the contents of Sanskrit verses otherwise available only in writing.
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Taxonomy
TopicsHandwritten Text Recognition Techniques · Music and Audio Processing · Speech Recognition and Synthesis
