반응형 분류 전체보기599 [2022-10-31] 오늘의 자연어처리 COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models Transformer-based pre-trained language models (PLMs) mostly suffer from excessive overhead despite their advanced capacity. For resource-constrained devices, there is an urgent need for a spatially and temporally efficient model which retains the major capacity of PLMs. However, ex.. 2022. 10. 31. [2022-10-30] 오늘의 자연어처리 Automatic Severity Assessment of Dysarthric speech by using Self-supervised Model with Multi-task Learning Automatic assessment of dysarthric speech is essential for sustained treatments and rehabilitation. However, obtaining atypical speech is challenging, often leading to data scarcity issues. To tackle the problem, we propose a novel automatic severity assessment method for dysarthric speech,.. 2022. 10. 30. [2022-10-29] 오늘의 자연어처리 FCTalker: Fine and Coarse Grained Context Modeling for Expressive Conversational Speech Synthesis Conversational Text-to-Speech (TTS) aims to synthesis an utterance with the right linguistic and affective prosody in a conversational context. The correlation between the current utterance and the dialogue history at the utterance level was used to improve the expressiveness of synthesized speech. .. 2022. 10. 29. [2022-10-28] 오늘의 자연어처리 Unifying Data Perspectivism and Personalization: An Application to Social Norms Instead of using a single ground truth for language processing tasks, several recent studies have examined how to represent and predict the labels of the set of annotators. However, often little or no information about annotators is known, or the set of annotators is small. In this work, we examine a corpus of social.. 2022. 10. 28. 이전 1 ··· 114 115 116 117 118 119 120 ··· 150 다음 반응형