Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yuren You"'
Autor:
Abdallah Moubayed, Dimitrios Michael Manias, Abbas Javadtalab, Mahdi Hemmati, Yuren You, Abdallah Shami
Publikováno v:
Photonic Network Communications. 45:49-66
Publikováno v:
2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom).
Publikováno v:
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium.
Publikováno v:
ICASSP
Text-to-speech systems now can generate speech that is hard to distinguish from human speech. In this paper, we propose the Huya multi-speaker and multi-style speech synthesis system which is based on DurIAN and HiFi-GAN to generate high-fidelity spe
Publikováno v:
ISPA/BDCloud/SocialCom/SustainCom
This paper proposes a speech synthesis method in Shanghai dialect based on deep learning. We firstly build a Shanghai dialect speech corpus for model training. At the same time, we realize a text analyzer for obtaining context-dependent information o
Publikováno v:
2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).
Donggan language, which is a special variant of Mandarin, is used by Donggan people in Central Asia. Donggan language includes Gansu dialect and Shaanxi dialect. This paper proposes a Deep Neural Network based on Donggan language speech recognition m
Publikováno v:
2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).
Because music tonality detection plays an important role in content-based music retrieval, music structure analysis, melody analysis and chord transcription, it has been one of the research hotspots of music information retrieval (MIR). The paper pro
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811501173
ICPCSEE (1)
ICPCSEE (1)
Donggan language, which is a special variant of Mandarin, is used by Donggan people in Central Asia. Donggan language includes Gansu dialect and Shaanxi dialect. This paper proposes a convolutional neural network (CNN) based Donggan language speech r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2733cf3321981085ed7e633e4c81282
https://doi.org/10.1007/978-981-15-0118-0_44
https://doi.org/10.1007/978-981-15-0118-0_44
Publikováno v:
ECOC
We describe an accurate neural network-type EDFA gain model generated using supervised learning. We demonstrate one application of this model: limiting channel power excursions during WDM channel add/drop operations.