MnTTS: An Open-Source Mongolian Text-to-Speech Synthesis Dataset and Accompanied Baseline
Author:
Affiliation:
1. College of Computer Science, Inner Mongolia University,Hohhot,China
Funder
National Natural Science Foundation of China (NSFC)
National Key Research and Development Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9961216/9961238/09961271.pdf?arnumber=9961271
Reference31 articles.
1. Low-Latency Single Channel Speech Enhancement Using U-Net Convolutional Neural Networks
2. A fast Griffin-Lim algorithm
3. Deep voice: Real-time neural text-to-speech;arik;International Conference on Machine Learning,2017
4. Towards end-to-end prosody transfer for expressive speech synthesis with tacotron;skerry-ryan;International Conference on Machine Learning,2018
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1. Text-to-Speech for Low-Resource Agglutinative Language With Morphology-Aware Language Model Pre-Training;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
2. Comparative Study for Multi-Speaker Mongolian TTS with a New Corpus;Applied Sciences;2023-03-27
3. MnTTS2: An Open-Source Multi-speaker Mongolian Text-to-Speech Synthesis Dataset;Communications in Computer and Information Science;2023
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