{"title":"限制'24：多扬声器，多语言印度TTS与语音克隆","authors":"Sathvik Udupa;Jesuraja Bandekar;Abhayjeet Singh;Deekshitha G;Saurabh Kumar;Sandhya Badiger;Amala Nagireddi;Roopa R;Prasanta Kumar Ghosh;Hema A. Murthy;Pranaw Kumar;Keiichi Tokuda;Mark Hasegawa-Johnson;Philipp Olbrich","doi":"10.1109/OJSP.2025.3531782","DOIUrl":null,"url":null,"abstract":"The Multi-speaker, Multi-lingual Indic Text to Speech (TTS) with voice cloning (LIMMITS'24) challenge is organized as part of the ICASSP 2024 signal processing grand challenge. LIMMITS'24 aims at the development of voice cloning for the multi-speaker, multi-lingual Text-to-Speech (TTS) model. Towards this, 80 hours of TTS data has been released in each of Bengali, Chhattisgarhi, English (Indian), and Kannada languages. This is in addition to Telugu, Hindi, and Marathi data released during the LIMMITS'23 challenge. The challenge encourages the advancement of TTS in Indian Languages as well as the development of multi-speaker voice cloning techniques for TTS. The three tracks of LIMMITS'24 have provided an opportunity for various researchers and practitioners around the world to explore the state of the art in research for voice cloning with TTS.","PeriodicalId":73300,"journal":{"name":"IEEE open journal of signal processing","volume":"6 ","pages":"293-302"},"PeriodicalIF":2.9000,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10845816","citationCount":"0","resultStr":"{\"title\":\"LIMMITS'24: Multi-Speaker, Multi-Lingual INDIC TTS With Voice Cloning\",\"authors\":\"Sathvik Udupa;Jesuraja Bandekar;Abhayjeet Singh;Deekshitha G;Saurabh Kumar;Sandhya Badiger;Amala Nagireddi;Roopa R;Prasanta Kumar Ghosh;Hema A. Murthy;Pranaw Kumar;Keiichi Tokuda;Mark Hasegawa-Johnson;Philipp Olbrich\",\"doi\":\"10.1109/OJSP.2025.3531782\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Multi-speaker, Multi-lingual Indic Text to Speech (TTS) with voice cloning (LIMMITS'24) challenge is organized as part of the ICASSP 2024 signal processing grand challenge. LIMMITS'24 aims at the development of voice cloning for the multi-speaker, multi-lingual Text-to-Speech (TTS) model. Towards this, 80 hours of TTS data has been released in each of Bengali, Chhattisgarhi, English (Indian), and Kannada languages. This is in addition to Telugu, Hindi, and Marathi data released during the LIMMITS'23 challenge. The challenge encourages the advancement of TTS in Indian Languages as well as the development of multi-speaker voice cloning techniques for TTS. The three tracks of LIMMITS'24 have provided an opportunity for various researchers and practitioners around the world to explore the state of the art in research for voice cloning with TTS.\",\"PeriodicalId\":73300,\"journal\":{\"name\":\"IEEE open journal of signal processing\",\"volume\":\"6 \",\"pages\":\"293-302\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-01-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10845816\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE open journal of signal processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10845816/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE open journal of signal processing","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10845816/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
LIMMITS'24: Multi-Speaker, Multi-Lingual INDIC TTS With Voice Cloning
The Multi-speaker, Multi-lingual Indic Text to Speech (TTS) with voice cloning (LIMMITS'24) challenge is organized as part of the ICASSP 2024 signal processing grand challenge. LIMMITS'24 aims at the development of voice cloning for the multi-speaker, multi-lingual Text-to-Speech (TTS) model. Towards this, 80 hours of TTS data has been released in each of Bengali, Chhattisgarhi, English (Indian), and Kannada languages. This is in addition to Telugu, Hindi, and Marathi data released during the LIMMITS'23 challenge. The challenge encourages the advancement of TTS in Indian Languages as well as the development of multi-speaker voice cloning techniques for TTS. The three tracks of LIMMITS'24 have provided an opportunity for various researchers and practitioners around the world to explore the state of the art in research for voice cloning with TTS.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
