Show simple item record

dc.contributor.author Bharti, Rahul
dc.contributor.author Akhtar, Md Shad (Advisor)
dc.date.accessioned 2026-04-20T14:18:08Z
dc.date.available 2026-04-20T14:18:08Z
dc.date.issued 2024-11-27
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/1941
dc.description.abstract We aim to develop a Text-to-Speech (TTS) system for code-mixed corpora, addressing the unique challenges posed by multilingual and mixed-language text. To establish a robust foundation, we first reviewed TTS literature comprehensively, focusing on state-of-the-art architectures, datasets, and techniques for multilingual and code-mixed scenarios. Key insights from this review guided our approach to develop a TTS model tailored for code-mixed data. We present an analysis of relevant studies and their reported results, highlighting the strengths and limitations of existing methods, which serve as a benchmark for our system. en_US
dc.language.iso en_US en_US
dc.publisher IIIT-Delhi en_US
dc.subject Text-to-Speech en_US
dc.subject Mixed-Language en_US
dc.title TTS in codemix domain en_US
dc.type Other en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search Repository


Advanced Search

Browse

My Account