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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 Page: 1 2 3 4 5 Hits 1 – 20 of 93 1 XTREME-S: Evaluating Cross-lingual Speech Representations ... Conneau, Alexis; Bapna, Ankur; Zhang, Yu. - : arXiv, 2022 BASE Show details 2 Self-supervised Learning with Random-projection Quantizer for Speech Recognition ... Chiu, Chung-Cheng; Qin, James; Zhang, Yu. - : arXiv, 2022 BASE Show details 3 Unsupervised Data Selection via Discrete Speech Representation for ASR ... Lu, Zhiyun; Wang, Yongqiang; Zhang, Yu. - : arXiv, 2022 BASE Show details 4 mSLAM: Massively multilingual joint pre-training for speech and text ... Bapna, Ankur; Cherry, Colin; Zhang, Yu. - : arXiv, 2022 BASE Show details 5 Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations ... Meng, Yu; Zhang, Yunyi; Huang, Jiaxin. - : arXiv, 2022 BASE Show details 6 MAESTRO: Matched Speech Text Representations through Modality Matching ... Chen, Zhehuai; Zhang, Yu; Rosenberg, Andrew; Ramabhadran, Bhuvana; Moreno, Pedro; Bapna, Ankur; Zen, Heiga. - : arXiv, 2022 Abstract: We present Maestro, a self-supervised training method to unify representations learnt from speech and text modalities. Self-supervised learning from speech signals aims to learn the latent structure inherent in the signal, while self-supervised learning from text attempts to capture lexical information. Learning aligned representations from unpaired speech and text sequences is a challenging task. Previous work either implicitly enforced the representations learnt from these two modalities to be aligned in the latent space through multitasking and parameter sharing or explicitly through conversion of modalities via speech synthesis. While the former suffers from interference between the two modalities, the latter introduces additional complexity. In this paper, we propose Maestro, a novel algorithm to learn unified representations from both these modalities simultaneously that can transfer to diverse downstream tasks such as Automated Speech Recognition (ASR) and Speech Translation (ST). Maestro learns ... : Submitted to Interspeech 2022 ... Keyword: 68T10; Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; I.2.7; Sound cs.SD URL: https://arxiv.org/abs/2204.03409 https://dx.doi.org/10.48550/arxiv.2204.03409 BASE Hide details 7 LPInsider: a webserver for lncRNA–protein interaction extraction from the literature Li, Ying; Wei, Lizheng; Wang, Cankun... In: BMC Bioinformatics (2022) BASE Show details 8 Observation of new excited ${B} ^0_{s} $ states Aaij, Roel; Abellán Beteta, Carlos; Ackernley, Thomas... In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-03010999 ; Eur.Phys.J.C, 2021, 81 (7), pp.601. ⟨10.1140/epjc/s10052-021-09305-3⟩ (2021) BASE Show details 9 Parental use of relational language with 3-year-olds in math and spatial activities: A cross-cultural perspective Zhang, Yu. - : eScholarship, University of California, 2021 BASE Show details 10 Joint Unsupervised and Supervised Training for Multilingual ASR ... Bai, Junwen; Li, Bo; Zhang, Yu. - : arXiv, 2021 BASE Show details 11 Scaling End-to-End Models for Large-Scale Multilingual ASR ... Li, Bo; Pang, Ruoming; Sainath, Tara N.. - : arXiv, 2021 BASE Show details 12 Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Han, Jiawei; Huang, Jiaxin. - : Underline Science Inc., 2021 BASE Show details 13 Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition ... Li, Qiujia; Zhang, Yu; Qiu, David. - : arXiv, 2021 BASE Show details 14 Injecting Text in Self-Supervised Speech Pretraining ... Chen, Zhehuai; Zhang, Yu; Rosenberg, Andrew. - : arXiv, 2021 BASE Show details 15 Book Review: Data Collection Research Methods in Applied Linguistics Zhang, Yu In: Front Psychol (2021) BASE Show details 16 Observation of new excited ${B} ^0_{s} $ states Aaij, Roel; Abellán Beteta, Carlos; Ackernley, Thomas. - 2020 BASE Show details 17 Speech Sentiment Annotations Chen, Eric Y.; Lu, Zhiyun; Xu, Hao. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020 BASE Show details 18 Large-scale multilingual audio visual dubbing ... Yang, Yi; Shillingford, Brendan; Assael, Yannis. - : arXiv, 2020 BASE Show details 19 Offline Handwritten Chinese Text Recognition with Convolutional Neural Networks ... Liu, Brian; Xu, Xianchao; Zhang, Yu. - : arXiv, 2020 BASE Show details 20 Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing? ... Zhou, Houquan; Zhang, Yu; Li, Zhenghua. - : arXiv, 2020 BASE Show details Page: 1 2 3 4 5

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