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Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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A Review of Current Techniques in Text-to-Speech Synthesis

Authors: Mahesh S. Gaikwad; Dr. Sanjay T. Wani;

A Review of Current Techniques in Text-to-Speech Synthesis

Abstract

Speech is the most prominent and natural form of communication between human beings. Only a select few who are literate in a given language can access the majority of the digital material available today. The application of NLP provides solutions in the form of natural interfaces, such as TTS, allowing digital content to reach a wider audience and facilitate the exchange of information among different people. A variety of technologies, including text-to-speech technology, have been developed to enhance language learning. The technique of turning text written in natural language into voice is called text-to-speech synthesis. This review paper includes an overview of text-to-speech systems developed for Indian languages. The work done in the speech domain for the Indian language is at the primary stage. The research work for Indian languages is also carried out however, the work is not able to cover the complete phonetic variation of the language.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green