A tree-based kernel selection approach to efficient Gaussian mixture model-universal background model based speaker identification | |
Xiong, Zhenyu ; Zheng, Thomas Fang ; Song, Zhanjiang ; Soong, Frank ; Wu, Wenhu | |
2010-05-06 ; 2010-05-06 ; OCT | |
关键词 | speaker recognition speaker identification tree-based kernel selection GMM-UBM VERIFICATION RECOGNITION ALGORITHM Acoustics Communication Computer Science, Interdisciplinary Applications Language & Linguistics |
中文摘要 | We propose a tree-based kernel selection (TBKS) algorithm as a computationally efficient approach to the Gaussian mixture model-universal background model (GMM-UBM) based speaker identification. All Gaussian components in the universal background model are first clustered hierarchically into a tree and the corresponding acoustic space is mapped into structurally partitioned regions. When identifying a speaker, each test input feature vector is scored against a small subset of all Gaussian components. As a result of this TBKS process, computation complexity can be significantly reduced. We improve the efficiency of the proposed system further by applying a previously proposed observation reordering based pruning (ORBP) to screen out unlikely candidate speakers. The approach is evaluated on a speech database of 1031 speakers, in both clean and noisy conditions. The experimental results show that by integrating TBKS and ORBP together we can speed up the computation efficiency by a factor of 15.8 with only a very slight degradation of identification performance, i.e., an increase of 1% of relative error rate, compared with a baseline GMM-UBM system. The improved search efficiency is also robust to additive noise. (c) 2006 Published by Elsevier B.V. |
语种 | 英语 ; 英语 |
出版者 | ELSEVIER SCIENCE BV ; AMSTERDAM ; PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS |
内容类型 | 期刊论文 |
源URL | [http://hdl.handle.net/123456789/9941] ![]() |
专题 | 清华大学 |
推荐引用方式 GB/T 7714 | Xiong, Zhenyu,Zheng, Thomas Fang,Song, Zhanjiang,et al. A tree-based kernel selection approach to efficient Gaussian mixture model-universal background model based speaker identification[J],2010, 2010, OCT. |
APA | Xiong, Zhenyu,Zheng, Thomas Fang,Song, Zhanjiang,Soong, Frank,&Wu, Wenhu.(2010).A tree-based kernel selection approach to efficient Gaussian mixture model-universal background model based speaker identification.. |
MLA | Xiong, Zhenyu,et al."A tree-based kernel selection approach to efficient Gaussian mixture model-universal background model based speaker identification".(2010). |
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