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41
Memory and linguistic demands of the Token Test (Pham et al., 2022) ...
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42
Memory and linguistic demands of the Token Test (Pham et al., 2022) ...
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43
Multi language Email Classification Using Transfer learning
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44
End-to-end contextual asr based on posterior distribution adaptation for hybrid ctc/attention system ...
Zhang, Zhengyi; Zhou, Pan. - : arXiv, 2022
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45
Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems ...
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46
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation ...
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47
VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ...
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48
VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ...
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49
DanFEVER: claim verification dataset for Danish ...
Nørregaard, Jeppe; Derczynski, Leon. - : figshare, 2022
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50
VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ...
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51
DanFEVER: claim verification dataset for Danish ...
Nørregaard, Jeppe; Derczynski, Leon. - : figshare, 2022
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52
Latin Lemmatization & POS Tagging. Issues, Resources, Tools ...
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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
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54
Source Code for Youtube dataset processing ...
TURENNE, Nicolas. - : Zenodo, 2022
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55
Source Code for Youtube dataset processing ...
TURENNE, Nicolas. - : Zenodo, 2022
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56
Latin Lemmatization & POS Tagging. Issues, Resources, Tools ...
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57
Repeat after me: Self-supervised learning of acoustic-to-articulatory mapping by vocal imitation ...
Abstract: We propose a computational model of speech production combining a pre-trained neural articulatory synthesizer able to reproduce complex speech stimuli from a limited set of interpretable articulatory parameters, a DNN-based internal forward model predicting the sensory consequences of articulatory commands, and an internal inverse model based on a recurrent neural network recovering articulatory commands from the acoustic speech input. Both forward and inverse models are jointly trained in a self-supervised way from raw acoustic-only speech data from different speakers. The imitation simulations are evaluated objectively and subjectively and display quite encouraging performances. ...
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.2204.02269
https://arxiv.org/abs/2204.02269
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58
Synthesizing Dysarthric Speech Using Multi-talker TTS for Dysarthric Speech Recognition ...
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59
Giant Pigeon and Small Person: Prompting Visually Grounded Models about the Size of Objects ...
Zhang, Yi. - : Purdue University Graduate School, 2022
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60
Giant Pigeon and Small Person: Prompting Visually Grounded Models about the Size of Objects ...
Zhang, Yi. - : Purdue University Graduate School, 2022
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