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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 9 of 9 1 Revisiting Self-training for Few-shot Learning of Language Model ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Yiming; Cheng, Ran. - : Underline Science Inc., 2021 BASE Show details 2 DynaEval: Unifying Turn and Dialogue Level Evaluation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chen, Yiming; D’Haro, Luis Fernando. - : Underline Science Inc., 2021 BASE Show details 3 Exploiting Position Bias for Robust Aspect Sentiment Classification ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Ma, Fang; Song, Dawei. - : Underline Science Inc., 2021 BASE Show details 4 PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription ... Zhang, Chen; Yu, Jiaxing; Chang, LuChin; Tan, Xu; Chen, Jiawei; Qin, Tao; Zhang, Kejun. - : arXiv, 2021 Abstract: Automatic lyrics transcription (ALT), which can be regarded as automatic speech recognition (ASR) on singing voice, is an interesting and practical topic in academia and industry. ALT has not been well developed mainly due to the dearth of paired singing voice and lyrics datasets for model training. Considering that there is a large amount of ASR training data, a straightforward method is to leverage ASR data to enhance ALT training. However, the improvement is marginal when training the ALT system directly with ASR data, because of the gap between the singing voice and standard speech data which is rooted in music-specific acoustic characteristics in singing voice. In this paper, we propose PDAugment, a data augmentation method that adjusts pitch and duration of speech at syllable level under the guidance of music scores to help ALT training. Specifically, we adjust the pitch and duration of each syllable in natural speech to those of the corresponding note extracted from music scores, so as to narrow the ... : 7 pages ... Keyword: Audio and Speech Processing eess.AS; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD URL: https://dx.doi.org/10.48550/arxiv.2109.07940 https://arxiv.org/abs/2109.07940 BASE Hide details 5 Dampening Effects of Perceived Teacher Enthusiasm on Class-Related Boredom in College Students: Longitudinal Mediation Effects of Perceived Task Value Cui, Guan-yu; Chen, Jing-yi; Wang, Chen... In: Front Psychol (2021) BASE Show details 6 ESL Student Plagiarism Prevention Challengesand Institutional Interventions Hu, Jim; Zhang, Chen In: Teaching Culturally and Linguistically Diverse International Students in Open or Online Learning Environments: A Research Symposium (2021) BASE Show details 7 Translation and intercultural communication in contemporary Chinese political discourse: Effectiveness and reception of the official English translation of Xi Jinping The Governance of China Zhang, Chen. - : The University of Sydney, 2021. : Department of Chinese Studies, 2021. : Faculty of Arts and Social Sciences, School of Languages and Cultures, 2021 BASE Show details 8 Representation, reasoning and similar matching for detailed topological relations with DTString Wang, Shengsheng; Liu, Dong; Zhang, Chen... In: Information sciences. - New York, NY : Elsevier Science Inc. 276 (2014), 255-277 OLC Linguistik Show details 9 Three Phases of Chinese Political Translation after 1949: Similarities and Differences Zhang, Chen. - : The University of Sydney, 2014. : Department of Chinese Studies, 2014. : Faculty of Arts and Social Sciences, School of Languages and Cultures, 2014 BASE Show details

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