| Paper: | SS-7.4 | ||
| Session: | Recent Advances in Multimodal User Authentication | ||
| Time: | Thursday, May 18, 11:00 - 11:20 | ||
| Presentation: | Special Session Lecture | ||
| Topic: | Special Sessions: Recent advances in multimodal user authentication | ||
| Title: | A Stream-Weight and Threshold Estimation Method Using Adaboost for Multi-Stream Speaker Verification | ||
| Authors: | Taichi Asami, Koji Iwano, Sadaoki Furui, Tokyo Institute of Technology, Japan | ||
| Abstract: | This paper proposes an automatic stream-weight and threshold estimation method for noise-robust speaker verification using multi-stream HMMs integrating segmental and prosodic information. The proposed method simultaneously optimizes stream-weights and a decision threshold by combining the linear discriminant analysis (LDA) and Adaboost techniques. Experiments were conducted using Japanese connected digit speech contaminated by white noise with various SNRs. In this experiment, a target ratio of false acceptance rate (FAR) and false rejection rate (FRR) was set by 1:1 so as to adjust them to approach an equal error rate (EER). Experimental results show that the proposed method effectively estimates stream-weights and thresholds so that FARs and FRRs are adjusted to EERs in most of the SNR conditions. | ||
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