Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Choedon, Tenzin; Nagaraju, Shamanth; Rekha, V. Title A name given to the resource Advancing Tibetan Text-to-Speech: Challenges and Innovations Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems;Volume;1737 LNNS;pp.182-192 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-95-5082-1_18" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-95-5082-1_18</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105028258192?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105028258192?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Choedon T., Department of Computer Science and Engineering, School of Technology and Engineering, Christ University, Bangalore, India; Nagaraju S., Christ University, Bangalore, India; Rekha V., Christ University, Bangalore, India Description An account of the resource This initiative aims to develop a platform for Tibetan Text-to-Speech (TTS) technology, addressing the significant demand for this technology for the Tibetan language. The main objective of this project is to create a system that is capable of converting text into natural and good quality speech. Through the compilation of Tibetan text-audio datasets, the project meets the increasing demand for technology that preserves oral traditions and allows Tibetans to communicate with other people interested in the language. The process includes the gathering of varied Tibetan text and audio samples, such as news articles, followed by processing of data through cleaning processes and statistical analysis. A benchmark dataset is created to enable the testing of models. The lack of certain resources for Tibetan TTS is addressed by the development of pre-trained machine learning models specific to acoustic modeling, using the adapted FastPitch model for waveform synthesis through the HiFi-GAN vocoder. The existing models were?further trained utilizing features particular to Tibetan phonetics and tonalities. The TTS approach is a key strategy for improving digital accessibility for Tibetan speakers and for safeguarding their cultural heritage; it finds applications in media, education, and communication, thus helping to preserve the Tibetan language in the digital era. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. Subject The topic of the resource FastPitch; Fine-tuned machine learning models; HiFi-GAN; Phonetic adaptation; Text to audio processing; Tibetan Text-to-Speech Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981955081-4; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online