Modeling prosodic dynamics for speaker recognition

  title={Modeling prosodic dynamics for speaker recognition},
  author={Andr{\'e} Adami and Radu Mihaescu and Douglas A. Reynolds and John J. Godfrey},
Most current state-of-the-art automatic speaker recognition systems extract speaker-dependent features by looking at shortterm spectral information. This approach ignores long-term information that can convey supra-segmental information, such as prosodics and speaking style. We propose two approaches that use the fundamental frequency and energy trajectories to capture long-term information. The first approach uses bigram models to model the dynamics of the fundamental frequency and energy… CONTINUE READING

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