Acoustic landmarks contain more information about the phone string than other frames for automatic speech recognition with deep neural network acoustic model.

@article{He2018AcousticLC,
  title={Acoustic landmarks contain more information about the phone string than other frames for automatic speech recognition with deep neural network acoustic model.},
  author={Di He and Boon Pang Lim and Xuesong Yang and Mark A. Hasegawa-Johnson and Deming Chen},
  journal={The Journal of the Acoustical Society of America},
  year={2018},
  volume={143 6},
  pages={
          3207
        }
}
Most mainstream automatic speech recognition (ASR) systems consider all feature frames equally important. However, acoustic landmark theory is based on a contradictory idea that some frames are more important than others. Acoustic landmark theory exploits quantal nonlinearities in the articulatory-acoustic and acoustic-perceptual relations to define… CONTINUE READING