Journal of Jilin University(Engineering and Technology Edition) ›› 2024, Vol. 54 ›› Issue (12): 3577-3588.doi: 10.13229/j.cnki.jdxbgxb.20230098
Previous Articles Next Articles
Dondrub LHAKPA1,2(
),Duoji ZHAXI1,Jie ZHU1,2(
)
CLC Number:
| 1 | Ren Y, Hu C, Tan X, et al. Fastspeech 2: fast and high-quality end-to-end text to speech[DB/OL].[2023-01-06]. |
| 2 | 王莉莉. 面向特定领域藏语统计参数语音合成的文本分析研究[D]. 兰州: 西北师范大学物理与电子工程学院, 2020. |
| Wang Li-li. Text analysis of speech sythesis based on statical parameters of Tibetan language in specific fields[D]. Lanzhou:College of Physics and Electronic Engineering, Northwest Normal University, 2020. | |
| 3 | 张日培. 藏文文语转换系统关键技术研究[D]. 西宁: 青海师范大学计算机学院, 2018. |
| Zhang Ri-pei. Research on key technologies of Tibetan text-to-speech system[D]. Xining: College of Computer,Qinghai Normal University, 2018. | |
| 4 | 拉巴顿珠, 欧珠, 祖漪清, 等. 藏语同形异音词的消歧方法研究[J]. 中文信息学报, 2018, 32(7):58-66. |
| Lhakpa-Dondrub, Ngodrup, ZU Yi-qing, et al. Disambiguation of polyphonic words in Tibetan[J]. Journal of Chinese Information Processing, 2018, 32(7): 58-66. | |
| 5 | 庄暑楠. 基于深度学习的文本规范化的研究与实现[D]. 长春: 吉林大学计算机科学与技术学院, 2020. |
| Zhuang Shu-nan. Research and implementation of text normalization based on deep learning [D]. Changchun: College of Computer Science and Technology,Jilin University, 2020. | |
| 6 | Tyagi S, Bonafonte A, Lorenzo-Trueba J, et al. Proteno: text normalization with limited data for fast deployment in text to speech systems[DB/OL].[2023-01-08]. |
| 7 | Tran O T, Bui V T. Neural text normalization in speech-to-text systems with rich features[J]. Applied Artificial Intelligence, 2021, 35(3): 193-205. |
| 8 | Zhang H, Sproat R, Ng A H, et al. Neural models of text normalization for speech applications[J]. Computational Linguistics, 2019, 45(2): 293-337. |
| 9 | Mansfield C, Sun M, Liu Y, et al. Neural text normalization with subword units[C]∥Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Minneapolis, USA,2019: 190-196. |
| 10 | Massimo L, Tatyana R, Anne G, et al. Encoder-decoder methods for text normalization[J/OL]. [2023-01-12]. |
| 11 | Dai W L, Song C H, Li X, et al. An end-to-end Chinese text normalization model based on rule-guided flat-lattice transformer[C]∥Proceedings of the ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing, Singapore, 2022: 7122-7126. |
| 12 | 胥桂仙,刘兰寅,张廷,等.基于预训练模型和图神经网络的藏文文本分类研究[J].东北师大学报: 自然科学版,2023,55(1):52-64. |
| Xu Gui-xian, Liu Lan-yin, Zhang Ting, et al.Tibetan text classification based on pre-trained model and graph neural network[J]. Joural of Northeast Normal University (Natural Science Edition), 2023,55(1):52-64. | |
| 13 | 艾金勇. 面向信息处理的藏文文本规范化方法研究[J]. 西北师范大学学报: 自然科学版, 2017, 53(2):52-56. |
| Ai Jin-yong. Research on normalization method of Tibetan text for information processing[J]. Journal of Northwest Normal University (Natural Science), 2017, 53(2): 52-56. | |
| 14 | 贡保加, 才智杰, 才让卓玛, 等. 一种藏语语音识别中数字文本规范方法[J].高原科学研究, 2022, 6(3): 117-124. |
| Gong Bao-jia, Cai Zhi-jie, Cairang-Zhuoma, et al. Study on a method of standardizing digital text in Tibetan speech recognition[J]. Plateau Science Research, 2022, 6(3): 117-124. | |
| 15 | 边巴嘉措. 现代藏语书面语语音结构分析[M]. 北京: 北京民族出版社, 2017. |
| 16 | 邓戈. 藏语语音研究[M].拉萨: 西藏藏文古籍出版社, 2013. |
| 17 | 珠杰. 藏文文本自动处理方法研究[M]. 2版.成都:西南交通大学出版社, 2022. |
| [1] | Li-ming LIANG,Long-song ZHOU,Jiang YIN,Xiao-qi SHENG. Fusion multi-scale Transformer skin lesion segmentation algorithm [J]. Journal of Jilin University(Engineering and Technology Edition), 2024, 54(4): 1086-1098. |
| [2] | Na CHE,Yi-ming ZHU,Jian ZHAO,Lei SUN,Li-juan SHI,Xian-wei ZENG. Connectionism based audio-visual speech recognition method [J]. Journal of Jilin University(Engineering and Technology Edition), 2024, 54(10): 2984-2993. |
| [3] | Ya-hui ZHAO,Fei-yu LI,Rong-yi CUI,Guo-zhe JIN,Zhen-guo ZHANG,De LI,Xiao-feng JIN. Korean⁃Chinese translation quality estimation based on cross⁃lingual pretraining model [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(8): 2371-2379. |
| [4] | Shan XUE,Ya-liang ZHANG,Qiong-ying LYU,Guo-hua CAO. Anti⁃unmanned aerial vehicle system object detection algorithm under complex background [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(3): 891-901. |
| [5] | Zhen WANG,Xiao-han YANG,Nan-nan WU,Guo-kun LI,Chuang FENG. Ordinal cross entropy Hashing based on generative adversarial network [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(12): 3536-3546. |
| [6] | Feng-feng ZHOU,Zhen-wei YAN. A model for identifying neuropeptides by feature selection based on hybrid features [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(11): 3238-3245. |
| [7] | Jun-jie WANG,Yuan-jun NONG,Li-te ZHANG,Pei-chen ZHAI. Visual relationship detection method based on construction scene [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(1): 226-233. |
| [8] | Bing ZHU,Zi-wei LI,Qi LI. Building segmentation method of remote sensing image based on improved SegNet [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(1): 248-254. |
| [9] | Gui-he QIN,Jun-feng HUANG,Ming-hui SUN. Text input based on two⁃handed keyboard in virtual environment [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(8): 1881-1888. |
| [10] | Fu-heng QU,Tian-yu DING,Yang LU,Yong YANG,Ya-ting HU. Fast image codeword search algorithm based on neighborhood similarity [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(8): 1865-1871. |
| [11] | Tian BAI,Ming-wei XU,Si-ming LIU,Ji-an ZHANG,Zhe WANG. Dispute focus identification of pleading text based on deep neural network [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(8): 1872-1880. |
| [12] | Ming LIU,Yu-hang YANG,Song-lin ZOU,Zhi-cheng XIAO,Yong-gang ZHANG. Application of enhanced edge detection image algorithm in multi-book recognition [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(4): 891-896. |
| [13] | Shi-min FANG. Multiple source data selective integration algorithm based on frequent pattern tree [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(4): 885-890. |
| [14] | Sheng-sheng WANG,Chen-xu LI,Xiang-yu WANG,Zhi-lin YAO,Yi-shen LIU,Jia-qian WU,Qing-ran YANG. Brain tumor image classification based on improved residual capsule network and sparrow search [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(11): 2653-2661. |
| [15] | Xiang-jiu CHE,He-yuan CHEN. Muti⁃Object dishes detection algorithm based on improved YOLOv4 [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(11): 2662-2668. |
|