ISCA Archive Interspeech 2007
ISCA Archive Interspeech 2007

Dual-channel acoustic detection of nasalization states

Xiaochuan Niu, Jan P. H. van Santen

Automatic detection of different oral-nasal configurations during speech is useful for understanding normal nasalization and assessing certain speech disorders. We propose an algorithm to extract nasalization features from dual-channel acoustic signals that are acquired by a simple two-microphone setup. The feature is based on a dual-channel acoustic model and the associated analysis method. We successfully test this feature in speaker-dependent and speaker-independent tasks by comparing it with the conventional single-channel MFCC feature. The proposed feature uniformly performs better in both tasks.

doi: 10.21437/Interspeech.2007-39

Cite as: Niu, X., Santen, J.P.H.v. (2007) Dual-channel acoustic detection of nasalization states. Proc. Interspeech 2007, 1921-1924, doi: 10.21437/Interspeech.2007-39

  author={Xiaochuan Niu and Jan P. H. van Santen},
  title={{Dual-channel acoustic detection of nasalization states}},
  booktitle={Proc. Interspeech 2007},