Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1941
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBharti, Rahul-
dc.contributor.authorAkhtar, Md Shad (Advisor)-
dc.date.accessioned2026-04-20T14:18:08Z-
dc.date.available2026-04-20T14:18:08Z-
dc.date.issued2024-11-27-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/1941-
dc.description.abstractWe 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.isoen_USen_US
dc.publisherIIIT-Delhien_US
dc.subjectText-to-Speechen_US
dc.subjectMixed-Languageen_US
dc.titleTTS in codemix domainen_US
dc.typeOtheren_US
Appears in Collections:Year-2024

Files in This Item:
File Description SizeFormat 
BTP - Rahul Bharti.pdf
  Restricted Access
2.16 MBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.