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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 6 7...567 Hits 41 – 60 of 11.324 41 Memory and linguistic demands of the Token Test (Pham et al., 2022) ... Pham, Theresa; Bardell, Taylor E.; Vollebregt, Meghan. - : ASHA journals, 2022 BASE Show details 42 Memory and linguistic demands of the Token Test (Pham et al., 2022) ... Pham, Theresa; Bardell, Taylor E.; Vollebregt, Meghan. - : ASHA journals, 2022 BASE Show details 43 Multi language Email Classification Using Transfer learning Sousa, Mário Jorge Carvalho de. - 2022 BASE Show details 44 End-to-end contextual asr based on posterior distribution adaptation for hybrid ctc/attention system ... Zhang, Zhengyi; Zhou, Pan. - : arXiv, 2022 BASE Show details 45 Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems ... Wang, Xiaoqiang; Liu, Yanqing; Li, Jinyu. - : arXiv, 2022 BASE Show details 46 SHAS: Approaching optimal Segmentation for End-to-End Speech Translation ... Tsiamas, Ioannis; Gállego, Gerard I.; Fonollosa, José A. R.; Costa-jussà, Marta R.. - : arXiv, 2022 Abstract: Speech translation models are unable to directly process long audios, like TED talks, which have to be split into shorter segments. Speech translation datasets provide manual segmentations of the audios, which are not available in real-world scenarios, and existing segmentation methods usually significantly reduce translation quality at inference time. To bridge the gap between the manual segmentation of training and the automatic one at inference, we propose Supervised Hybrid Audio Segmentation (SHAS), a method that can effectively learn the optimal segmentation from any manually segmented speech corpus. First, we train a classifier to identify the included frames in a segmentation, using speech representations from a pre-trained wav2vec 2.0. The optimal splitting points are then found by a probabilistic Divide-and-Conquer algorithm that progressively splits at the frame of lowest probability until all segments are below a pre-specified length. Experiments on MuST-C and mTEDx show that the translation of ... : Submitted to Interspeech 2022, 5 pages. Previous version (v1) has additionally a 2-page Appendix ... Keyword: Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD URL: https://arxiv.org/abs/2202.04774 https://dx.doi.org/10.48550/arxiv.2202.04774 BASE Hide details 47 VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ... Ruiz-Dolz, Ramon; Nofre, Montserrat; Taulé, Mariona. - : Zenodo, 2022 BASE Show details 48 VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ... Ruiz-Dolz, Ramon; Nofre, Montserrat; Taulé, Mariona. - : Zenodo, 2022 BASE Show details 49 DanFEVER: claim verification dataset for Danish ... Nørregaard, Jeppe; Derczynski, Leon. - : figshare, 2022 BASE Show details 50 VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ... Ruiz-Dolz, Ramon; Nofre, Montserrat; Taulé, Mariona. - : Zenodo, 2022 BASE Show details 51 DanFEVER: claim verification dataset for Danish ... Nørregaard, Jeppe; Derczynski, Leon. - : figshare, 2022 BASE Show details 52 Latin Lemmatization & POS Tagging. Issues, Resources, Tools ... Passarotti, Marco; Mambrini, Francesco. - : Zenodo, 2022 BASE Show details 53 The First Gospel, the Gospel of the Poor: A New Reconstruction of Q and Resolution of the Synoptic Problem based on Marcion's Early Luke ... Bilby, Mark G.. - : Zenodo, 2022 BASE Show details 54 Source Code for Youtube dataset processing ... TURENNE, Nicolas. - : Zenodo, 2022 BASE Show details 55 Source Code for Youtube dataset processing ... TURENNE, Nicolas. - : Zenodo, 2022 BASE Show details 56 Latin Lemmatization & POS Tagging. Issues, Resources, Tools ... Passarotti, Marco; Mambrini, Francesco. - : Zenodo, 2022 BASE Show details 57 Repeat after me: Self-supervised learning of acoustic-to-articulatory mapping by vocal imitation ... Georges, Marc-Antoine; Diard, Julien; Girin, Laurent. - : arXiv, 2022 BASE Show details 58 Synthesizing Dysarthric Speech Using Multi-talker TTS for Dysarthric Speech Recognition ... Soleymanpour, Mohammad; Johnson, Michael T.; Soleymanpour, Rahim. - : arXiv, 2022 BASE Show details 59 Giant Pigeon and Small Person: Prompting Visually Grounded Models about the Size of Objects ... Zhang, Yi. - : Purdue University Graduate School, 2022 BASE Show details 60 Giant Pigeon and Small Person: Prompting Visually Grounded Models about the Size of Objects ... Zhang, Yi. - : Purdue University Graduate School, 2022 BASE Show details Page: 1 2 3 4 5 6 7...567

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