Text-to-Speech for Low-Resource Agglutinative Language With Morphology-Aware Language Model Pre-Training

Author:

Liu Rui1ORCID,Hu Yifan1ORCID,Zuo Haolin1ORCID,Luo Zhaojie2ORCID,Wang Longbiao3ORCID,Gao Guanglai1ORCID

Affiliation:

1. Department of Computer Science, Inner Mongolia University, Hohhot, China

2. SANKEN, Osaka University, Osaka, Japan

3. Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China

Funder

Natural Science Foundation for Young Scientists of Shanxi Province

Guangdong Provincial Key Laboratory of Human Digital Twin

One Zone, Two Bases

Inner Mongolia University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Semantic dependency and local convolution for enhancing naturalness and tone in text-to-speech synthesis;Neurocomputing;2024-12

2. Pre-training Language Model for Mongolian with Agglutinative Linguistic Knowledge Injection;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. A Benchmark for Morphological Segmentation in Uyghur and Kazakh;Applied Sciences;2024-06-21

4. 3S-TSE: Efficient Three-Stage Target Speaker Extraction for Real-Time and Low-Resource Applications;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Hierarchical Speaker Representation for Target Speaker Extraction;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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