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	Exploring wav2vec 2.0 on speaker verification and language identification 会议论文线上会议, 2021-8-30 作者: Fan ZY(范志赟); Li M(李蒙); Zhou SY(周世玉); Xu B(徐波) 收藏 \| 浏览/下载：25/0 \| 提交时间：2022/09/17 self-supervised speaker verification language identification multi-task learning wav2vec 2.0
	Evaluation of the deep nonlinear metric learning based speaker identification on the large scale of voiceprint corpus 会议论文 Tian Jin, China, 2016.10.17-2016.10.20 作者: Feng Yong; Cai Xinyuan; Ji Ruifang 收藏 \| 浏览/下载：7/0 \| 提交时间：2016/10/28 Speaker Identification Deep Nonlinear Metric Learning Large Scale Of Voiceprint Corpus
	Evaluation of the deep nonlinear metric learning based speaker identification on the large scale of voiceprint corpus 会议论文 Tian Jin, China, 2016.10.17-2016.10.20 作者: Feng Yong; Cai Xinyuan; Ji Ruifang 收藏 \| 浏览/下载：10/0 \| 提交时间：2020/10/27 Speaker Identification Deep Nonlinear Metric Learning Large Scale Of Voiceprint Corpus
	Hybridization Process for Text-Independent Speaker Identification Based on Vector Quantization Model 会议论文 IEEE International Conference on Signal and Image Processing (ICSIP), Beijing, PEOPLES R CHINA, 2016-08-13 作者: Djeghader, Mohammed; Huang, Qin 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/30 component speaker identification system MFCC features vector quantization based LBG minkowski metrics
	声纹识别系统在满意度电话回访作弊排查中的应用学位论文 2014, 2014 李兰泽收藏 \| 浏览/下载：2/0 \| 提交时间：2016/01/12 说话人确认跨信道说话人分类分割聚类高斯混合模型 Speaker Identification Intersession Speaker Diarization Segmentation and clustering Gaussian Mixture Model
	Shift-invariant features with multiple factors for robust text-independent speaker identification 期刊论文 Journal of Computational Information Systems, 2012, 卷号: 8, 期号: 21, 页码: 8937-8944 作者: Wu, Qiang; Liu, Ju; Sun, Jiande; Cichocki, Andrzej 收藏 \| 浏览/下载：1/0 \| 提交时间：2019/12/23 Convolutive tensor basis function Robust feature extraction Sparse representation Speaker identification
	Sub-band Main Peak Frequency Application for Speaker Identification 会议论文 BIOMETRIC RECOGNITION: CCBR 2011, 2011-12-03 作者: Hou, Limin[1]; Xie, Juanmin[2]; Xie, Su[3] 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/04/30 speaker identification phase spectrum all-pole model MFCC
	Lip information extraction based on the fusion of geometry and motion features 会议论文 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11, Shanghai, China, July 26, 2011 - July 28, 2011 作者: Meng, Yingjie; Zhang, Haiyan; Hu, Yingjie; Li, Jinyang 收藏 \| 浏览/下载：4/0 \| 提交时间：2017/01/18 Feature extraction Curve fitting Fuzzy systems Geometry Identification (control systems) Information analysis Speech recognition Comprehensive information Extraction method Information Extraction Keypoints Lip features Motion characteristics Motion features Recognition rates Sequence images Speaker identification
	Speaker identification in time-sequential images based on movements of lips 会议论文 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11, Shanghai, China, July 26, 2011 - July 28, 2011 作者: Meng, Yingjie; Hu, Yingjie; Zhang, Haiyan; Wang, Xianlong 收藏 \| 浏览/下载：3/0 \| 提交时间：2017/01/18 Image processing Feature extraction Fuzzy systems Identification (control systems) Loudspeakers Speech recognition Wavelet transforms Feature information Gabor wavelet transforms HMM HMM models Speaker identification Static images Symbol sequences time-sequential images
	Combination of SVM and score normalization for person identification based on audio-visual feature fusion 会议论文 Hangzhou, China, March 9, 2011 - March 11, 2011 作者: Cao, Jie; Wu, Di; Liu, Zong Li; Pan, Peng 收藏 \| 浏览/下载：0/0 \| 提交时间：2020/11/15 Biometrics Computer applications Feature extraction Neural networks Signal to noise ratio Speech recognition Support vector machines Accuracy rate Audio-visual features Computational costs Face features Feature level fusion Fused system Fusing face Identity recognition Noisy environment ORL database Person identification Pulse coupled neural network Recognition performance Recognition rates Score normalization Speaker recognition Speech features SVM theory

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