반응형 분류 전체보기599 [2022-12-30] 오늘의 자연어처리 Don't Be So Sure! Boosting ASR Decoding via Confidence Relaxation Automatic Speech Recognition (ASR) systems frequently use a search-based decoding strategy aiming to find the best attainable transcript by considering multiple candidates. One prominent speech recognition decoding heuristic is beam search, which seeks the transcript with the greatest likelihood computed using the predicted distri.. 2022. 12. 30. [2022-12-29] 오늘의 자연어처리 Generative Pre-Trained Transformers for Biologically Inspired Design Biological systems in nature have evolved for millions of years to adapt and survive the environment. Many features they developed can be inspirational and beneficial for solving technical problems in modern industries. This leads to a novel form of design-by-analogy called bio-inspired design (BID). Although BID as a design me.. 2022. 12. 29. [2022-12-28] 오늘의 자연어처리 Generative Pre-Trained Transformers for Biologically Inspired Design Biological systems in nature have evolved for millions of years to adapt and survive the environment. Many features they developed can be inspirational and beneficial for solving technical problems in modern industries. This leads to a novel form of design-by-analogy called bio-inspired design (BID). Although BID as a design me.. 2022. 12. 28. [2022-12-27] 오늘의 자연어처리 Alignment Entropy Regularization Existing training criteria in automatic speech recognition(ASR) permit the model to freely explore more than one time alignments between the feature and label sequences. In this paper, we use entropy to measure a model's uncertainty, i.e. how it chooses to distribute the probability mass over the set of allowed alignments. Furthermore, we evaluate the effect of e.. 2022. 12. 27. 이전 1 ··· 97 98 99 100 101 102 103 ··· 150 다음 반응형