Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Xurong Xie"'
Autor:
Cui Cui, Xurong Xie, Liu-Yan Wang, Rui-Li Wang, Wei Lei, Jun Lv, Liuyi Chen, Huan-Huan Gao, Sang Ye, Linya Huang, Qing-Yuan Zhou
Publikováno v:
Ciência Rural, Vol 50, Iss 4 (2020)
ABSTRACT: Herbicide application is an effective weed control method for mitigating crop yield loss; however, herbicide overuse can cause toxicity in non-target plants. The present study evaluated the effects of glufosinate at recommended dose for agr
Externí odkaz:
https://doaj.org/article/e40ecadbf0d5406a8f959c1b669d33af
Autor:
Xiaolan Peng, Xurong Xie, Jin Huang, Chutian Jiang, Haonian Wang, Alena Denisova, Hui Chen, Feng Tian, Hongan Wang
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8c716e8b0969b32b02ab245a2ea7af0
https://doi.org/10.1145/3544548.3581232
https://doi.org/10.1145/3544548.3581232
Autor:
Jiajun Deng, Xurong Xie, Tianzi Wang, Mingyu Cui, Boyang Xue, Zengrui Jin, Guinan Li, Shujie Hu, Xunying Liu
Speaker adaptation techniques provide a powerful solution to customise automatic speech recognition (ASR) systems for individual users. Practical application of unsupervised model-based speaker adaptation techniques to data intensive end-to-end ASR s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c61b5ff35232a4cb2155430c10e5d01
Autor:
Xurong Xie, Shoukang Hu, Xunying Liu, Shansong Liu, Jianwei Yu, Mengzhe Geng, Mingyu Cui, Helen Meng
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 29:2267-2281
Despite the rapid progress of automatic speech recognition (ASR) technologies in the past few decades, recognition of disordered speech remains a highly challenging task to date. Disordered speech presents a wide spectrum of challenges to current dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::571f306c6bee0eacb03c91199cd4ec28
https://doi.org/10.1109/taslp.2021.3091805
https://doi.org/10.1109/taslp.2021.3091805
Publikováno v:
CHI Conference on Human Factors in Computing Systems Extended Abstracts.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c93e277af0cc9baa40a27aeab4eacae
https://doi.org/10.1145/3491101.3519806
https://doi.org/10.1145/3491101.3519806
Autor:
Xurong Xie, Mengzhe Geng, Xunying Liu, Zi Ye, Shansong Liu, Helen Meng, Shoukang Hu, Zengrui Jin, Jianwei Yu
Automatic recognition of disordered speech remains a highly challenging task to date. Sources of variability commonly found in normal speech including accent, age or gender, when further compounded with the underlying causes of speech impairment and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61a0c3eb803ba571632f76fb05ed9024
http://arxiv.org/abs/2201.05554
http://arxiv.org/abs/2201.05554
Publikováno v:
INTERSPEECH
Disordered speech recognition is a highly challenging task. The underlying neuro-motor conditions of people with speech disorders, often compounded with co-occurring physical disabilities, lead to the difficulty in collecting large quantities of spee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a02a450cb2d032c2ecb17fa5841962c
Despite the rapid progress of automatic speech recognition (ASR) technologies targeting normal speech in recent decades, accurate recognition of dysarthric and elderly speech remains highly challenging tasks to date. Sources of heterogeneity commonly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5734b492d8c61e12f71046de1ba9c82f
Autor:
Shoukang Hu, Xurong Xie, Mingyu Cui, Jiajun Deng, Shansong Liu, Jianwei Yu, Mengzhe Geng, Xunying Liu, Helen Meng
State-of-the-art automatic speech recognition (ASR) system development is data and computation intensive. The optimal design of deep neural networks (DNNs) for these systems often require expert knowledge and empirical evaluation. In this paper, a ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5e13cd7aba75fa685dcfed519e61ce5
Publikováno v:
Interspeech 2021.
Dysarthric speech recognition is a challenging task due to acoustic variability and limited amount of available data. Diverse conditions of dysarthric speakers account for the acoustic variability, which make the variability difficult to be modeled p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::243ddeacd2d04a8ae3aa13a1d147fc53
https://doi.org/10.21437/interspeech.2021-173
https://doi.org/10.21437/interspeech.2021-173