Pitch detection algorithms modifications and implementations towards automated vocal analysis

Yuhong Zhang; Aaron C. Elkins; Jay F. Nunamaker

doi:10.1109/ICNSC.2014.6819660

Pitch detection algorithms modifications and implementations towards automated vocal analysis

Yuhong Zhang, Aaron C. Elkins, Jay F. Nunamaker

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

1 Scopus citations

Abstract

Discriminating between deceit and truth is a significant security challenge in a variety of situations, including border crossings, job interviews, flight passenger screenings, and police interviews. Previous research indicates that some features of vocal speech, e.g., fundamental frequency, are related to human emotion and stress levels making them applicable deception detection. This paper focuses on voice and speech feature extraction using advanced signal processing methodology. These generated speech features are used to submit data mining algorithms for classifying deception. The result of this paper is expected to be directly applied to the deception detection system.

Original language	English (US)
Title of host publication	Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014
Publisher	IEEE Computer Society
Pages	405-410
Number of pages	6
ISBN (Print)	9781479931064
DOIs	https://doi.org/10.1109/ICNSC.2014.6819660
State	Published - 2014
Externally published	Yes
Event	11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014 - Miami, FL, United States Duration: Apr 7 2014 → Apr 9 2014

Publication series

Name	Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014

Other

Other	11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014
Country/Territory	United States
City	Miami, FL
Period	4/7/14 → 4/9/14

Keywords

deception detection
pitch
speech feature
speech processing

ASJC Scopus subject areas

Computer Networks and Communications
Control and Systems Engineering

Access to Document

10.1109/ICNSC.2014.6819660

Cite this

Zhang, Y., Elkins, A. C., & Nunamaker, J. F. (2014). Pitch detection algorithms modifications and implementations towards automated vocal analysis. In Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014 (pp. 405-410). Article 6819660 (Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014). IEEE Computer Society. https://doi.org/10.1109/ICNSC.2014.6819660

Pitch detection algorithms modifications and implementations towards automated vocal analysis. / Zhang, Yuhong; Elkins, Aaron C.; Nunamaker, Jay F.
Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014. IEEE Computer Society, 2014. p. 405-410 6819660 (Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014).

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

Zhang, Y, Elkins, AC & Nunamaker, JF 2014, Pitch detection algorithms modifications and implementations towards automated vocal analysis. in Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014., 6819660, Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014, IEEE Computer Society, pp. 405-410, 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014, Miami, FL, United States, 4/7/14. https://doi.org/10.1109/ICNSC.2014.6819660

Zhang Y, Elkins AC, Nunamaker JF. Pitch detection algorithms modifications and implementations towards automated vocal analysis. In Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014. IEEE Computer Society. 2014. p. 405-410. 6819660. (Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014). doi: 10.1109/ICNSC.2014.6819660

Zhang, Yuhong ; Elkins, Aaron C. ; Nunamaker, Jay F. / Pitch detection algorithms modifications and implementations towards automated vocal analysis. Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014. IEEE Computer Society, 2014. pp. 405-410 (Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014).

@inproceedings{f3e73e0a351346e3bc98ccb0c26a9322,

title = "Pitch detection algorithms modifications and implementations towards automated vocal analysis",

abstract = "Discriminating between deceit and truth is a significant security challenge in a variety of situations, including border crossings, job interviews, flight passenger screenings, and police interviews. Previous research indicates that some features of vocal speech, e.g., fundamental frequency, are related to human emotion and stress levels making them applicable deception detection. This paper focuses on voice and speech feature extraction using advanced signal processing methodology. These generated speech features are used to submit data mining algorithms for classifying deception. The result of this paper is expected to be directly applied to the deception detection system.",

keywords = "deception detection, pitch, speech feature, speech processing",

author = "Yuhong Zhang and Elkins, {Aaron C.} and Nunamaker, {Jay F.}",

year = "2014",

doi = "10.1109/ICNSC.2014.6819660",

language = "English (US)",

isbn = "9781479931064",

series = "Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014",

publisher = "IEEE Computer Society",

pages = "405--410",

booktitle = "Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014",

note = "11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014 ; Conference date: 07-04-2014 Through 09-04-2014",

}

TY - GEN

T1 - Pitch detection algorithms modifications and implementations towards automated vocal analysis

AU - Zhang, Yuhong

AU - Elkins, Aaron C.

AU - Nunamaker, Jay F.

PY - 2014

Y1 - 2014

N2 - Discriminating between deceit and truth is a significant security challenge in a variety of situations, including border crossings, job interviews, flight passenger screenings, and police interviews. Previous research indicates that some features of vocal speech, e.g., fundamental frequency, are related to human emotion and stress levels making them applicable deception detection. This paper focuses on voice and speech feature extraction using advanced signal processing methodology. These generated speech features are used to submit data mining algorithms for classifying deception. The result of this paper is expected to be directly applied to the deception detection system.

AB - Discriminating between deceit and truth is a significant security challenge in a variety of situations, including border crossings, job interviews, flight passenger screenings, and police interviews. Previous research indicates that some features of vocal speech, e.g., fundamental frequency, are related to human emotion and stress levels making them applicable deception detection. This paper focuses on voice and speech feature extraction using advanced signal processing methodology. These generated speech features are used to submit data mining algorithms for classifying deception. The result of this paper is expected to be directly applied to the deception detection system.

KW - deception detection

KW - pitch

KW - speech feature

KW - speech processing

UR - http://www.scopus.com/inward/record.url?scp=84902362645&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84902362645&partnerID=8YFLogxK

U2 - 10.1109/ICNSC.2014.6819660

DO - 10.1109/ICNSC.2014.6819660

M3 - Conference contribution

AN - SCOPUS:84902362645

SN - 9781479931064

T3 - Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014

SP - 405

EP - 410

BT - Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014

PB - IEEE Computer Society

T2 - 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014

Y2 - 7 April 2014 through 9 April 2014

ER -

Pitch detection algorithms modifications and implementations towards automated vocal analysis

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this