Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  give a unification of several different speaker recognition problems in terms of the general speaker partitioning problem, where a set of N inputs has to be partitioned into subsets according to speaker.  show how to solve this problem in terms of a simple generative model and demonstrate performance on NIST SRE 2006 and 2008 data. Our solution yields probabilistic outputs, which  show how to evaluate with a cross-entropy criterion. Finally,  show improved accuracy of the generative model via a discriminatively trained re-calibration transformation of log-likelihoods.
['Niko Brümmer', 'Edward de Villiers']
I am writing a research paper on a idea The speaker partitioning problem
[{"from": "human", "value": "I am writing a research paper on a idea The speaker partitioning problem"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  give a unification of several different speaker recognition problems in terms of the general speaker partitioning problem, where a set of N inputs has to be partitioned into subsets according to speaker.  show how to solve this problem in terms of a simple generative model and demonstrate performance on NIST SRE 2006 and 2008 data. Our solution yields probabilistic outputs, which  show how to evaluate with a cross-entropy criterion. Finally,  show improved accuracy of the generative model via a discriminatively trained re-calibration transformation of log-likelihoods."}]