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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.. - : arXiv, 2022 BASE Show 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; Berry, Jeffrey. - : arXiv, 2022 Abstract: Dysarthria is a motor speech disorder often characterized by reduced speech intelligibility through slow, uncoordinated control of speech production muscles. Automatic Speech recognition (ASR) systems may help dysarthric talkers communicate more effectively. To have robust dysarthria-specific ASR, sufficient training speech is required, which is not readily available. Recent advances in Text-To-Speech (TTS) synthesis multi-speaker end-to-end TTS systems suggest the possibility of using synthesis for data augmentation. In this paper, we aim to improve multi-speaker end-to-end TTS systems to synthesize dysarthric speech for improved training of a dysarthria-specific DNN-HMM ASR. In the synthesized speech, we add dysarthria severity level and pause insertion mechanisms to other control parameters such as pitch, energy, and duration. Results show that a DNN-HMM model trained on additional synthetic dysarthric speech achieves WER improvement of 12.2% compared to the baseline, the addition of the severity level ... : Accepted ICASSP 2022 ... 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://dx.doi.org/10.48550/arxiv.2201.11571 https://arxiv.org/abs/2201.11571 BASE Hide 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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