Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes an automatic stream-ight and threshold estimation method for noise-robust speaker verification using multi-stream HMMs integrating segmental and prosodic information. The proposed method simultaneously optimizes stream-ights and a decision threshold by combining the linear discriminant analysis (LDA) and Adaboost techniques. Experiments re 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-ights and thresholds so that FARs and FRRs are adjusted to EERs in most of the SNR conditions
['Taichi Asami', 'Koji Iwano', 'Sadaoki Furui']
I am writing a research paper on a idea A Stream-Weight and Threshold Estimation Method Using Adaboost for Multi-Stream Speaker Verification
[{"from": "human", "value": "I am writing a research paper on a idea A Stream-Weight and Threshold Estimation Method Using Adaboost for Multi-Stream Speaker Verification"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes an automatic stream-ight and threshold estimation method for noise-robust speaker verification using multi-stream HMMs integrating segmental and prosodic information. The proposed method simultaneously optimizes stream-ights and a decision threshold by combining the linear discriminant analysis (LDA) and Adaboost techniques. Experiments re 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-ights and thresholds so that FARs and FRRs are adjusted to EERs in most of the SNR conditions"}]