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pro vyhledávání: '"Lin, Edward"'
Capital allocation is a procedure for quantifying the contribution of each source of risk to aggregated risk. The gradient allocation rule, also known as the Euler principle, is a prevalent rule of capital allocation under which the allocated capital
Externí odkaz:
http://arxiv.org/abs/2401.11701
Autor:
Yu, Haibin, Hu, Yuxuan, Qian, Yao, Jin, Ma, Liu, Linquan, Liu, Shujie, Shi, Yu, Qian, Yanmin, Lin, Edward, Zeng, Michael
Code-switching speech refers to a means of expression by mixing two or more languages within a single utterance. Automatic Speech Recognition (ASR) with End-to-End (E2E) modeling for such speech can be a challenging task due to the lack of data. In t
Externí odkaz:
http://arxiv.org/abs/2303.10949
Neural text-to-speech (TTS) generally consists of cascaded architecture with separately optimized acoustic model and vocoder, or end-to-end architecture with continuous mel-spectrograms or self-extracted speech frames as the intermediate representati
Externí odkaz:
http://arxiv.org/abs/2303.02939
Autor:
Sun, Eric, Li, Jinyu, Hu, Yuxuan, Zhu, Yimeng, Zhou, Long, Xue, Jian, Wang, Peidong, Liu, Linquan, Liu, Shujie, Lin, Edward, Gong, Yifan
We propose gated language experts and curriculum training to enhance multilingual transformer transducer models without requiring language identification (LID) input from users during inference. Our method incorporates a gating mechanism and LID loss
Externí odkaz:
http://arxiv.org/abs/2303.00786
Autor:
Leng, Yichong, Tan, Xu, Liu, Wenjie, Song, Kaitao, Wang, Rui, Li, Xiang-Yang, Qin, Tao, Lin, Edward, Liu, Tie-Yan
Error correction in automatic speech recognition (ASR) aims to correct those incorrect words in sentences generated by ASR models. Since recent ASR models usually have low word error rate (WER), to avoid affecting originally correct tokens, error cor
Externí odkaz:
http://arxiv.org/abs/2212.01039
Text error correction aims to correct the errors in text sequences such as those typed by humans or generated by speech recognition models. Previous error correction methods usually take the source (incorrect) sentence as encoder input and generate t
Externí odkaz:
http://arxiv.org/abs/2211.13252
Publikováno v:
Western Journal of Emergency Medicine, Vol 9, Iss 1, Pp 13-19 (2008)
Prediction models using multiple logistic regression are appearing with increasing frequency in the medical literature. Problems associated with these models include the complexity of computations when applied in their pure form, and lack of availabi
Externí odkaz:
https://doaj.org/article/65af821d5fc84784b18e745acda8b0b5
Autor:
Leng, Yichong, Tan, Xu, Wang, Rui, Zhu, Linchen, Xu, Jin, Liu, Wenjie, Liu, Linquan, Qin, Tao, Li, Xiang-Yang, Lin, Edward, Liu, Tie-Yan
Error correction is widely used in automatic speech recognition (ASR) to post-process the generated sentence, and can further reduce the word error rate (WER). Although multiple candidates are generated by an ASR system through beam search, current e
Externí odkaz:
http://arxiv.org/abs/2109.14420