Speaker Recognition by Hidden Markov Models and Neural Networks. Speaker recognition involves two applications, speaker identification and speaker verification. Both applications are examined in this effort. As humans, we develop the ability to identify people by their voice at an early age. Getting computers to perform the same task has proven to be an interesting problem.
Speaker recognition involves two applications, speaker identification and speaker verification.
Both applications are examined in this effort. Two methods are employed to perform speaker recognition. The first is an enhancement of hidden Markov models. The second solution is the novel application of an enhanced Feature Space Trajectory Neural Network to speaker recognition. The Feature Space Trajectory was developed for image processing for temporal recognition and has been demonstrated to outperform the hidden Markov model for some image sequence applications.