دورية أكاديمية

Lightweight, Multi-Speaker, Multi-Lingual Indic Text-to-Speech

التفاصيل البيبلوغرافية
العنوان: Lightweight, Multi-Speaker, Multi-Lingual Indic Text-to-Speech
المؤلفون: Abhayjeet Singh, Amala Nagireddi, Anjali Jayakumar, Deekshitha G, Jesuraja Bandekar, Roopa R, Sandhya Badiger, Sathvik Udupa, Saurabh Kumar, Prasanta Kumar Ghosh, Hema A Murthy, Heiga Zen, Pranaw Kumar, Kamal Kant, Amol Bole, Bira Chandra Singh, Keiichi Tokuda, Mark Hasegawa-Johnson, Philipp Olbrich
المصدر: IEEE Open Journal of Signal Processing, Vol 5, Pp 790-798 (2024)
بيانات النشر: IEEE, 2024.
سنة النشر: 2024
المجموعة: LCC:Electrical engineering. Electronics. Nuclear engineering
مصطلحات موضوعية: End-to-end model, data-constrained multi-speaker, model compression, multi-lingual TTS, speech synthesis, text-to-speech (TTS), Electrical engineering. Electronics. Nuclear engineering, TK1-9971
الوصف: The Lightweight, Multi-speaker, Multi-lingual Indic Text-to-Speech (LIMMITS'23) challenge is organized as part of the ICASSP 2023 Signal Processing Grand Challenge. LIMMITS'23 aims at the development of a lightweight, multi-speaker, multi-lingual Text to Speech (TTS) model using datasets in Marathi, Hindi, and Telugu, with at least 40 hours of data released for each of the male and female voice artists in each language. The challenge encourages the advancement of TTS in Indian Languages as well as the development of techniques involved in TTS data selection and model compression. The 3 tracks of LIMMITS'23 have provided an opportunity for various researchers and practitioners around the world to explore the state-of-the-art techniques in TTS research.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2644-1322
Relation: https://ieeexplore.ieee.org/document/10479171/; https://doaj.org/toc/2644-1322
DOI: 10.1109/OJSP.2024.3379092
URL الوصول: https://doaj.org/article/30416475bd804b8ea7e7a6b9878069a3
رقم الأكسشن: edsdoj.30416475bd804b8ea7e7a6b9878069a3
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:26441322
DOI:10.1109/OJSP.2024.3379092