Zobrazeno 1 - 10
of 455
pro vyhledávání: '"Wei-qiang ZHANG"'
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-15 (2024)
Abstract Acoustic scene classification (ASC) is the process of identifying the acoustic environment or scene from which an audio signal is recorded. In this work, we propose an encoder-decoder-based approach to ASC, which is borrowed from the SegNet
Externí odkaz:
https://doaj.org/article/c3f7f713611b47a488f10cfba307c862
Autor:
Wen-Hao Zhu, Yi Shen, Yu Xiao, Qi Shi, Zhao-Xiang Fan, Yan-Qi Feng, Hong-Bo Wan, Bo Qu, Jun Zhao, Wei-Qiang Zhang, Guo-Hui Xu, Xue-Qun Wu, De-Zhi Tang
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
Background: Wuhu Oral Liquid (WHOL) is a modified preparation derived from the famous Wuhu Powder, which has a long history of use in treating traumatic injuries. This preparation has anti-inflammatory and analgesic properties and accelerates recover
Externí odkaz:
https://doaj.org/article/8dbdb1a7df834436b378d1d9caf8d4fd
Publikováno v:
Humanities & Social Sciences Communications, Vol 9, Iss 1, Pp 1-9 (2022)
Abstract Artificial intelligence (AI) is empowering personalized online news delivery to accommodate people’s information needs and combat information overload. However, AI models learned from user data are inheriting and amplifying some underlying
Externí odkaz:
https://doaj.org/article/5c71c49504664571b9649d53ccad2dc3
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2021, Iss 1, Pp 1-14 (2021)
Abstract Many end-to-end approaches have been proposed to detect predefined keywords. For scenarios of multi-keywords, there are still two bottlenecks that need to be resolved: (1) the distribution of important data that contains keyword(s) is sparse
Externí odkaz:
https://doaj.org/article/03c17f151a4b4ebea782da8ab0e5c2bf
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2018, Iss 1, Pp 1-15 (2018)
Abstract Recurrent neural networks (RNNs) have shown an ability to model temporal dependencies. However, the problem of exploding or vanishing gradients has limited their application. In recent years, long short-term memory RNNs (LSTM RNNs) have been
Externí odkaz:
https://doaj.org/article/deb1d8f9be2e4ed2b5ffcb357447c68c
Autor:
Jing Zhao, Wei-Qiang Zhang
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 16:1227-1241
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::599e8b5de21ba3e44e1d3bcd1762ab29
https://doi.org/10.1109/jstsp.2022.3184480
https://doi.org/10.1109/jstsp.2022.3184480
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ef0ee2aa3729dec5ff530972c80c2d5
https://doi.org/10.1109/icassp49357.2023.10095522
https://doi.org/10.1109/icassp49357.2023.10095522
Publikováno v:
Angewandte Chemie International Edition. 62
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dcfdcf35fe912a8e4e3ac3d5d39832a
https://doi.org/10.1002/anie.202217316
https://doi.org/10.1002/anie.202217316
Automatic detection of machine anomaly remains challenging for machine learning. We believe the capability of generative adversarial network (GAN) suits the need of machine audio anomaly detection, yet rarely has this been investigated by previous wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3377d0540802ff2507462c63185d9cf5
The end-to-end speech translation (E2E-ST) model has gradually become a mainstream paradigm due to its low latency and less error propagation. However, it is non-trivial to train such a model well due to the task complexity and data scarcity. The spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acdd9f0f59c6b29703ec7f2dc3fb5137