“ASR-nsfc-publication”版本间的差异
来自cslt Wiki
（→IEEE Trans. on ASL） |
（→Conference papers） |
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| 第5行： | 第5行： | ||
==Conference papers== | ==Conference papers== | ||
| − | * Yang Feng, Shiyue Zhang, Andy Zhang, Dong | + | * Yang Feng, Shiyue Zhang, Andy Zhang, Dong Wang and Andrew Abel, Memory-augmented Neural Machine Translation, EMNLP 2017 [http://wangd.cslt.org/public/pdf/memory-augmented-nmt.pdf] . |
* Lantian Li, Yixiang Chen, Dong Wang, Thomas Fang Zheng, A Study on Replay Attack and Anti-Spoofing for Automatic Speaker Verification, Interspeech 2017 [https://arxiv.org/pdf/1705.03670.pdf]. | * Lantian Li, Yixiang Chen, Dong Wang, Thomas Fang Zheng, A Study on Replay Attack and Anti-Spoofing for Automatic Speaker Verification, Interspeech 2017 [https://arxiv.org/pdf/1705.03670.pdf]. | ||
* Lantian Li, Yixiang Chen, Ying Shi, Zhiyuan Tang, Dong Wang, "Deep Speaker Feature Learning for Text-independent Speaker Verification", Interspeech 2017[https://arxiv.org/pdf/1705.03670.pdf]. | * Lantian Li, Yixiang Chen, Ying Shi, Zhiyuan Tang, Dong Wang, "Deep Speaker Feature Learning for Text-independent Speaker Verification", Interspeech 2017[https://arxiv.org/pdf/1705.03670.pdf]. | ||
2017年8月1日 (二) 11:40的版本
目录
Journal papers
- Zhiyuan Tang, Lantian Li, Dong Wang, Ravichander Vipperla, "Collaborative Joint Training With Multitask Recurrent Model for Speech and Speaker Recognition", IEEE TASLP 2017, vol 25, no.3 [1]
Conference papers
- Yang Feng, Shiyue Zhang, Andy Zhang, Dong Wang and Andrew Abel, Memory-augmented Neural Machine Translation, EMNLP 2017 [2] .
- Lantian Li, Yixiang Chen, Dong Wang, Thomas Fang Zheng, A Study on Replay Attack and Anti-Spoofing for Automatic Speaker Verification, Interspeech 2017 [3].
- Lantian Li, Yixiang Chen, Ying Shi, Zhiyuan Tang, Dong Wang, "Deep Speaker Feature Learning for Text-independent Speaker Verification", Interspeech 2017[4].
- Jiyuan Zhang, Yang Feng, Dong Wang, Yang Wang, Andrw Abel, Shiyue Zhang, Andi Zhangi, "Flexible and Creative Chinese Poetry Generation Using Neural Memory", ACL 2017 [5]
- Zhiyuan Tang, Ying Shi, Dong Wang, Yang Feng, and Shiyue Zhang, "Memory Visualization for Gated Recurrent Neural Networks in Speech Recognition", ICASSP 2017.[6]
Submissions
IEEE Trans. on ASLP
- Title: Phonetic Temporal Neural Model for Language Identification
- Author: Zhiyuan Tang,Dong Wang,Yixiang Chen,Lantian Li,Andrew Abel
- link:arXiv
APSIPA 2017
- Title: AP17-OLR Challenge: Data, Plan, and Baseline
- Author: Zhiyuan Tang, Dong Wang, Yixiang Chen, Qing Chen
- link: arXiv
- Title: Memory-augmented Chinese-Uyghur Neural Machine Translation
- Author: Shiyue Zhang, Gulnigar Mahmut, Dong Wang, Askar Hamdulla
- link: arXiv
- Title: Language Resource Construction for Mongolian
- Author: Shipeng Xu , Hongzhi Yu, Thomas Fang Zheng and Jinghao Yan
- link: pdf
- Title: Free Linguistic and Speech Resources for Tibetan
- Author: Guanyu Li, Hongzhi Yu, Thomas Fang Zheng, Jinghao Yan
- link: pdf
- Title: A Free Kazak Speech Database and a Speech Recognition Baseline
- Author: Ying Shi, Askar Hamdulla, Zhiyuan Tang, Dong Wang, Thomas Fang Zheng
- link: pdf
- Title: A Multilingual Language Processing Tool for Uyghur, Kazak and Kirghiz
- Author: Mijit Ablimit, Sardar Parhat, Askar Hamdulla, Thomas Fang Zheng
- link: pdf
- Title: Enhanced Neural Machine Translation by Learning from Draft
- Author: Aodong Li, Shiyue Zhangy, Dong Wangz and Thomas Fang Zheng
- link: pdf
- Title: Cross-lingual Speaker Verification with Deep Feature Learning
- Author: Lantian Li, Dong Wang, Askar Rozi, Thomas Fang Zheng
- link: arXiv
- Title: Deep Speaker Verification: Do We Need End to End?
- Author: Dong Wangy, Lantian Liy, Zhiyuan Tangy, Thomas Fang Zhengy
- link: arXiv
- Title: Speaker Recognition with Cough, Laugh and “Wei”
- Author: Miao Zhang, Yixiang Chen, Lantian Li and Dong Wang
- link: arXiv
OCOCOSDA 2017
- Title: M2ASR: AMBITIONS AND FIRST YEAR PROGRESS
- Author: Dong Wang, Thomas Fang Zheng, Zhiyuan Tang, Ying Shi, Lantian Li, Shiyue Zhang Hongzhi Yu, Guanyu Li, Shipeng Xu, Askar Hummdulla, Mijit Ablimit, Gulnigar Mahmut
- link: pdf
