@inproceedings{7f24a7b9a5a74099bc6345f091c43742,
title = "Dual-channel acoustic detection of nasalization states",
abstract = "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. speech production, nasalization, speech pathology, velopharyngeal function, nasal resonance.",
keywords = "Nasal resonance, Nasalization, Speech pathology, Speech production, Velopharyngeal function",
author = "Xiaochuan Niu and {Van Santen}, {Jan P.H.}",
year = "2007",
language = "English (US)",
isbn = "9781605603162",
series = "International Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007",
publisher = "Unavailable",
pages = "1077--1080",
booktitle = "International Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007",
note = "8th Annual Conference of the International Speech Communication Association, Interspeech 2007 ; Conference date: 27-08-2007 Through 31-08-2007",
}