Evaluation of the deep nonlinear metric learning based speaker identification on the large scale of voiceprint corpus | |
Feng Yong; Cai Xinyuan; Ji Ruifang | |
2016-10 | |
会议日期 | 2016.10.17-2016.10.20 |
会议地点 | Tian Jin, China |
关键词 | Speaker Identification Deep Nonlinear Metric Learning Large Scale Of Voiceprint Corpus |
英文摘要 | Speaker recognition is a valuable biometric recognition technology. Recently, with the development of deep learning, many deep network based speaker recognition algorithms are proposed. However, the evaluations on the speaker recognition algorithms are always performed on a small or middle scale of voiceprint corpus. There are few evaluation reports of speaker recognition on a large scale of voiceprint corpus. In this paper, we try to introduce a deep nonlinear metric learning based speaker identification algorithm and construct a larger scale of voiceprint corpus consisting of about 440 thousand people. We perform the evaluation of the deep nonlinear metric learning based method on the large scale corpus and give the recognition rate results in different scales. The evaluation results prove that, the performance is surely decreased when the scale of the corpus is increased. But for the scale of 400 thousand, the recognition rate of Top 50 is stable at about 95%, which means that it could be used in some real applications. |
会议录 | ISCSLP 2016 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/41083] |
专题 | 数字内容技术与服务研究中心_听觉模型与认知计算 |
通讯作者 | Cai Xinyuan |
推荐引用方式 GB/T 7714 | Feng Yong,Cai Xinyuan,Ji Ruifang. Evaluation of the deep nonlinear metric learning based speaker identification on the large scale of voiceprint corpus[C]. 见:. Tian Jin, China. 2016.10.17-2016.10.20. |
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