CASIA OpenIR  > 模式识别国家重点实验室  > 语音交互
Improving BLSTM RNN Based Mandarin Speech Recognition Using Accent Dependent Bottleneck Features
Yi, Jiangyan1,2; Ni, Hao1,2; Wen, Zhengqi1; Tao, Jianhua1,2,3
2016
Conference NameAsia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2016)
Conference DateDecember 13-16, 2016
Conference PlaceJeju, Korea
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/19881
Collection模式识别国家重点实验室_语音交互
Affiliation1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science
2.School of Computer and Control Engineering, University of Chinese Academy of Sciences
3.CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Yi, Jiangyan,Ni, Hao,Wen, Zhengqi,et al. Improving BLSTM RNN Based Mandarin Speech Recognition Using Accent Dependent Bottleneck Features[C],2016.
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