CASIA OpenIR  > 模式识别国家重点实验室  > 语音交互
A NOVEL PITCH EXTRACTION BASED ON JOINTLY TRAINED DEEP BLSTM RECURRENT NEURAL NETWORKS WITH BOTTLENECK FEATURES
Liu Bin; Tao Jianhua; Zhang Dawei; Zheng Yibin
2017
Conference NameIEEE International Conference on Acoustic, Speech and Signal Processing(ICASSP)
Conference Date20170305-20170309
Conference PlaceNew Orleans,USA
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/19939
Collection模式识别国家重点实验室_语音交互
Recommended Citation
GB/T 7714
Liu Bin,Tao Jianhua,Zhang Dawei,et al. A NOVEL PITCH EXTRACTION BASED ON JOINTLY TRAINED DEEP BLSTM RECURRENT NEURAL NETWORKS WITH BOTTLENECK FEATURES[C],2017.
Files in This Item: Download All
File Name/Size DocType Version Access License
07952173.pdf(219KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Liu Bin]'s Articles
[Tao Jianhua]'s Articles
[Zhang Dawei]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liu Bin]'s Articles
[Tao Jianhua]'s Articles
[Zhang Dawei]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liu Bin]'s Articles
[Tao Jianhua]'s Articles
[Zhang Dawei]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 07952173.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.