Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Exploring Robustness of DNN/RNN for Extracting Speaker Baum-Welch Statistics in Mismatched Conditions | |
Hao Zheng; Shanshan Zhang; Wenju Liu | |
2015 | |
会议名称 | INTERSPEECH |
会议录名称 | INTERSPEECH |
会议日期 | 2015 |
会议地点 | Dresden, Germany |
摘要 | This work explores the use of DNN/RNN for extracting Baum-Welch sufficient statistics in place of the conventional GMM-UBM in speaker recognition. In this framework, the DNN/RNN is trained for automatic speech recognition (ASR) and each of the output unit corresponds to a component of GMM-UBM. Then the outputs of network are combined with acoustic features to calculate sufficient statistics for speaker recognition. We evaluate and analyze the performance of networks with different configurations and training corpuses in this paper. Experimental results on text-independent SRE NIST 2008 and text-dependent RSR2015 speaker verification tasks show the robustness of DNN/RNN for extracting statistics in mismatched evaluation conditions compared with GMM-UBM system. Particularly, Long Short-Term Memory (LSTM) RNN realized in this work outperforms traditional DNN and GMM-UBM in most mismatched conditions. |
关键词 | Dnn Rnn Speaker Recognition Mismatched Condition |
收录类别 | EI |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/11780 |
专题 | 模式识别国家重点实验室_机器人视觉 |
通讯作者 | Hao Zheng |
作者单位 | National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Hao Zheng,Shanshan Zhang,Wenju Liu. Exploring Robustness of DNN/RNN for Extracting Speaker Baum-Welch Statistics in Mismatched Conditions[C],2015. |
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IS-2015-2.pdf(247KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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