نتائج البحث - "Shang-Wen Li"

1

مؤتمر

The evaluation method of sensor location for transmission fault diagnosis

المؤلفون: Zhou Xiao-feng, Shi Hai-bo, Shang Wen-li

المصدر: 2010 IEEE Youth Conference on Information, Computing and Telecommunications Information Computing and Telecommunications (YC-ICT), 2010 IEEE Youth Conference on. :190-193 Nov, 2010

Relation: 2010 IEEE Youth Conference on Information, Computing and Telecommunications (YC-ICT)

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Disentangled Training with Adversarial Examples for Robust Small-Footprint Keyword Spotting

المؤلفون: Zhenyu Wang, Li Wan, Biqiao Zhang, Yiteng Huang, Shang-Wen Li, Ming Sun, Xin Lei, Zhaojun Yang

المصدر: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::b9c14fc6b86154d5f9f6cf95e2c7b808
https://doi.org/10.1109/icassp49357.2023.10094750

3

Superb @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning

المؤلفون: Tzu-hsun Feng, Annie Dong, Ching-Feng Yeh, Shu-wen Yang, Tzu-Quan Lin, Jiatong Shi, Kai-Wei Chang, Zili Huang, Haibin Wu, Xuankai Chang, Shinji Watanabe, Abdelrahman Mohamed, Shang-Wen Li, Hung-yi Lee

المصدر: 2022 IEEE Spoken Language Technology Workshop (SLT).

مصطلحات موضوعية: FOS: Computer and information sciences, Sound (cs.SD), Computer Science - Computation and Language, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computation and Language (cs.CL), Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d1269adcfa0535af6d3fa2635806560
https://doi.org/10.1109/slt54892.2023.10022770

4

An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks

المؤلفون: Kai-Wei Chang, Wei-Cheng Tseng, Shang-Wen Li, Hung-yi Lee

المصدر: Interspeech 2022.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::a99630125d4b4812a85c643032f29ddf
https://doi.org/10.21437/interspeech.2022-10610

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Theoretical Analysis of an In-line Thin-core Fiber Based Refractometer

المؤلفون: Lu Cai, Jun Liu, Fu-cheng Xiang, Shang-wen Li

المصدر: 2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT).

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::fd2b944b5a0c2c1a38fee1c5b8c05185
https://doi.org/10.1109/ccpqt56151.2022.00072

6

Self-Supervised Speech Representation Learning: A Review

المؤلفون: Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu, Lars Maaloe, Tara N. Sainath, Shinji Watanabe

المصدر: Mohamed, A, Lee, H, Borgholt, L, Havtorn, J D, Edin, J, Igel, C, Kirchhoff, K, Li, S-W, Livescu, K, Maaløe, L, Sainath, T N & Watanabe, S 2022, ' Self-Supervised Speech Representation Learning: A Review ', IEEE Journal of Selected Topics in Signal Processing, vol. 16, no. 6, pp. 1179-1210 . https://doi.org/10.1109/JSTSP.2022.3207050

مصطلحات موضوعية: Self-supervised learning, FOS: Computer and information sciences, Sound (cs.SD), Computer Science - Computation and Language, Data models, Representation learning, Computer Science - Sound, Speech processing, Audio and Speech Processing (eess.AS), Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering, Training, Hidden Markov models, Electrical and Electronic Engineering, Computation and Language (cs.CL), Electrical Engineering and Systems Science - Audio and Speech Processing