Neural Network Based Pitch Tracking in Very Noisy Speech

@article{Han2014NeuralNB,
  title={Neural Network Based Pitch Tracking in Very Noisy Speech},
  author={Kun Han and DeLiang Wang},
  journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
  year={2014},
  volume={22},
  pages={2158-2168}
}
Pitch determination is a fundamental problem in speech processing, which has been studied for decades. However, it is challenging to determinate pitch in strong noise because the harmonic structure is corrupted. In this paper, we estimate pitch using supervised learning, where the probabilistic pitch states are directly learned from noisy speech data. We investigate two alternative neural networks modeling pitch state distribution given observations. The first one is a feedforward deep neural… CONTINUE READING
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