Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The paper presents our efforts in the Interspeech 2011 Speaker State Challenge. Both systems, for the Intoxication and the Sleepiness Sub-Challenge, are based on a Universal Background Model (UBM) in a form of a Hidden Markov Model (HMM), and the Maximum A Posteriori (MAP) adaptation. With the combination of our HMM-UBM-MAP derived supervectors and selected statistical functionals from thebaseline feature set,  re able to surpass the baseline system in both sub-challenges. By employing majority voting fusion of best systems  re able to further improve the performance. In the Intoxication Sub-Challenge our best result on the test set is 67.46%, and in the Sleepiness Sub-Challenge 71.28%. Index Terms: Intoxication, Sleepiness, HMM-UBM-MAP
['Rok Gajsek', 'Simon Dobrisek', 'France Mihelic']
I am writing a research paper on a idea University of Ljubljana System for Interspeech 2011 Speaker State Challenge
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