6. Conclusion
A finer optimization should be obtained by combining the stamp value and using an HMM model for smoother estimates.
HMM: Hidden Markov Models
Our approach shows that this type of coding contains useful information for distinguishing speaker specificities, and we now need to integrate it into a tracking model that should provide complementary information to conventional models. (e.g. Gaussian model with cepstral parameters): SpkDet Mistral module .
The major difference with our qualitative approach lies in a representation for each speaker in a space of very small integers (the identity of 50 speakers is (partially) encoded by a set of QTF vectors each on [1:13] 15 ).
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