Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes a method to calculate the confidence score for out-of-vocabulary (OOV) word verification based on the Output Probability Distribution (OPD) of phoneme HMMs. Compared with input vector for dynamic garbage model, OPD vector contains more information than the sorted probabilities. Confidence score of each phoneme is calculated by SVM with OPD vectors as input. Hypotheses are accepted or rejected based on this confidence score. Experimental results shod that the proposed method achieved lor EER in word verification task than the conventional dynamic garbage model.
['Shilei Huang', 'Xiang Xie', 'Pascale Fung']
I am writing a research paper on a idea Using output probability distribution for oov word rejection
[{"from": "human", "value": "I am writing a research paper on a idea Using output probability distribution for oov word rejection"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes a method to calculate the confidence score for out-of-vocabulary (OOV) word verification based on the Output Probability Distribution (OPD) of phoneme HMMs. Compared with input vector for dynamic garbage model, OPD vector contains more information than the sorted probabilities. Confidence score of each phoneme is calculated by SVM with OPD vectors as input. Hypotheses are accepted or rejected based on this confidence score. Experimental results shod that the proposed method achieved lor EER in word verification task than the conventional dynamic garbage model."}]