“News-2018-01-30”版本间的差异
（以“'''<b>Lantian Li, Dong Wang, Yixiang Chen, Ying Shi, Zhiyuan Tang, "DEEP FACTORIZATION FOR SPEECH SIGNAL"''' This paper describes how speech signals can be factoriz...”为内容创建页面） |
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| − | ''' | + | '''Lantian Li, Dong Wang, Yixiang Chen, Ying Shi, Zhiyuan Tang, "DEEP FACTORIZATION FOR SPEECH SIGNAL"''' |
This paper describes how speech signals can be factorized into varios informative factors in the latent | This paper describes how speech signals can be factorized into varios informative factors in the latent | ||
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'''Miao Zhang, Xiaofei Kang, Yanqing Wang, Lantian Li, Zhiyuan Tang, Haisheng Dai, Dong Wang, "HUMAN AND MACHINE SPEAKER RECOGNITION BASED ON SHORT TRIVIAL EVENTS"''' | '''Miao Zhang, Xiaofei Kang, Yanqing Wang, Lantian Li, Zhiyuan Tang, Haisheng Dai, Dong Wang, "HUMAN AND MACHINE SPEAKER RECOGNITION BASED ON SHORT TRIVIAL EVENTS"''' | ||
| − | It presents how machines can discriminate speakers by trivial events such as laugh, cough, en. | + | It presents how machines can discriminate speakers by trivial events such as laugh, cough, en. |
More information about this research can be found in the [http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/Speaker_Recognition_on_Trivial_events project page]. | More information about this research can be found in the [http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/Speaker_Recognition_on_Trivial_events project page]. | ||
2018年1月29日 (一) 23:14的版本
Lantian Li, Dong Wang, Yixiang Chen, Ying Shi, Zhiyuan Tang, "DEEP FACTORIZATION FOR SPEECH SIGNAL"
This paper describes how speech signals can be factorized into varios informative factors in the latent space.
More information about this research can be found in the project page
Lantian Li, Zhiyuan Tang, Dong Wang, "FULL-INFO TRAINING FOR DEEP SPEAKER FEATURE LEARNING"
It presents a new idea to learn 'pure features', by pushing all the discriminative information to feature learning. It provides stonger features than regular feature + softmax regression architecture.
More information about this research can be found in the project page
Miao Zhang, Xiaofei Kang, Yanqing Wang, Lantian Li, Zhiyuan Tang, Haisheng Dai, Dong Wang, "HUMAN AND MACHINE SPEAKER RECOGNITION BASED ON SHORT TRIVIAL EVENTS"
It presents how machines can discriminate speakers by trivial events such as laugh, cough, en.
More information about this research can be found in the project page.
