Acoustic speech analysis for hypernasality detection in children

G. Castellanos; G. Daza; L. Sánchez; O. Castrillón; J. Suárez

doi:10.1109/IEMBS.2006.260572

Acoustic speech analysis for hypernasality detection in children

G. Castellanos, G. Daza, L. Sánchez, O. Castrillón, J. Suárez

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Scopus citations

Abstract

Here, an analysis of different acoustic features and their influence in automatic identification of hypernasality is shown. Effective feature selection method includes preprocessing of the initial feature space based on statistical independence analysis. Simultaneously, the synthesis of a specialized diagnostic feature is proposed based on analyzing the acoustic emission of the hyper nasal speech. As a result, It is obtained the acoustic features can differentiate with enough precision the pathology. However, the proposed feature does not require training samples and less computational power, as well.

Original language	English
Title of host publication	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Pages	5507-5510
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2006.260572
State	Published - 2006
Event	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States Duration: Aug 30 2006 → Sep 3 2006

Publication series

Name	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)	0589-1019

Conference

Conference	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Country/Territory	United States
City	New York, NY
Period	8/30/06 → 9/3/06

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Access to Document

10.1109/IEMBS.2006.260572

Cite this

Castellanos, G., Daza, G., Sánchez, L., Castrillón, O., & Suárez, J. (2006). Acoustic speech analysis for hypernasality detection in children. In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 (pp. 5507-5510). Article 4029634 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). https://doi.org/10.1109/IEMBS.2006.260572

@inproceedings{1f2b2d8ee7ba4cc6a33b8f4713933281,

title = "Acoustic speech analysis for hypernasality detection in children",

abstract = "Here, an analysis of different acoustic features and their influence in automatic identification of hypernasality is shown. Effective feature selection method includes preprocessing of the initial feature space based on statistical independence analysis. Simultaneously, the synthesis of a specialized diagnostic feature is proposed based on analyzing the acoustic emission of the hyper nasal speech. As a result, It is obtained the acoustic features can differentiate with enough precision the pathology. However, the proposed feature does not require training samples and less computational power, as well.",

author = "G. Castellanos and G. Daza and L. S{\'a}nchez and O. Castrill{\'o}n and J. Su{\'a}rez",

year = "2006",

doi = "10.1109/IEMBS.2006.260572",

language = "English",

isbn = "1424400325",

series = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

pages = "5507--5510",

booktitle = "28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06",

note = "28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 ; Conference date: 30-08-2006 Through 03-09-2006",

}

Castellanos, G, Daza, G, Sánchez, L, Castrillón, O & Suárez, J 2006, Acoustic speech analysis for hypernasality detection in children. in 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06., 4029634, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, pp. 5507-5510, 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06, New York, NY, United States, 8/30/06. https://doi.org/10.1109/IEMBS.2006.260572

Acoustic speech analysis for hypernasality detection in children. / Castellanos, G.; Daza, G.; Sánchez, L. et al.
28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. 2006. p. 5507-5510 4029634 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Acoustic speech analysis for hypernasality detection in children

AU - Castellanos, G.

AU - Daza, G.

AU - Sánchez, L.

AU - Castrillón, O.

AU - Suárez, J.

PY - 2006

Y1 - 2006

N2 - Here, an analysis of different acoustic features and their influence in automatic identification of hypernasality is shown. Effective feature selection method includes preprocessing of the initial feature space based on statistical independence analysis. Simultaneously, the synthesis of a specialized diagnostic feature is proposed based on analyzing the acoustic emission of the hyper nasal speech. As a result, It is obtained the acoustic features can differentiate with enough precision the pathology. However, the proposed feature does not require training samples and less computational power, as well.

AB - Here, an analysis of different acoustic features and their influence in automatic identification of hypernasality is shown. Effective feature selection method includes preprocessing of the initial feature space based on statistical independence analysis. Simultaneously, the synthesis of a specialized diagnostic feature is proposed based on analyzing the acoustic emission of the hyper nasal speech. As a result, It is obtained the acoustic features can differentiate with enough precision the pathology. However, the proposed feature does not require training samples and less computational power, as well.

UR - http://www.scopus.com/inward/record.url?scp=34047135537&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34047135537&partnerID=8YFLogxK

U2 - 10.1109/IEMBS.2006.260572

DO - 10.1109/IEMBS.2006.260572

M3 - Conference contribution

C2 - 17946309

AN - SCOPUS:34047135537

SN - 1424400325

SN - 9781424400324

T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

SP - 5507

EP - 5510

BT - 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06

T2 - 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06

Y2 - 30 August 2006 through 3 September 2006

ER -

Castellanos G, Daza G, Sánchez L, Castrillón O, Suárez J. Acoustic speech analysis for hypernasality detection in children. In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. 2006. p. 5507-5510. 4029634. (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). doi: 10.1109/IEMBS.2006.260572

Acoustic speech analysis for hypernasality detection in children

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this