Speech features found in a continuous high order statistical analysis of speech

Michael C. Orr; Brian J. Lithgow; Robert Mahony

doi:10.1109/IEMBS.2002.1134446

Speech features found in a continuous high order statistical analysis of speech

Michael C. Orr, Brian J. Lithgow, Robert Mahony

Electrical and Computer Systems Engineering

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

3 Citations (Scopus)

Abstract

Statistical measures commonly used in signal processing applications such as blind equalisation and optimal filter design are often applied over long periods (seconds). This paper introduces a technique for analysing speech in the time domain using high order statistics. Preliminary results presented show that voiced, unvoiced and silence periods are well characterised using these statistical measures even when applied over a short term (milliseconds).

Original language	English
Title of host publication	Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society
Pages	180-181
Number of pages	2
Volume	1
DOIs	https://doi.org/10.1109/IEMBS.2002.1134446
Publication status	Published - 2002
Event	International Conference of the IEEE Engineering in Medicine and Biology Society and Annual Fall Meeting of the Biomedical Engineering Society 2002 - Houston, United States of America Duration: 23 Oct 2002 → 26 Oct 2002 Conference number: 2nd https://ieeexplore.ieee.org/xpl/conhome/8123/proceeding?isnumber=25190 (Proceedings)

Conference

Conference	International Conference of the IEEE Engineering in Medicine and Biology Society and Annual Fall Meeting of the Biomedical Engineering Society 2002
Abbreviated title	BMES/EMBC 2002
Country/Territory	United States of America
City	Houston
Period	23/10/02 → 26/10/02
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8123/proceeding?isnumber=25190 (Proceedings)

Keywords

High order statistics
Kurtosis
Skew
Speech analysis
Speech processing

Access to Document

10.1109/IEMBS.2002.1134446

Cite this

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title = "Speech features found in a continuous high order statistical analysis of speech",

abstract = "Statistical measures commonly used in signal processing applications such as blind equalisation and optimal filter design are often applied over long periods (seconds). This paper introduces a technique for analysing speech in the time domain using high order statistics. Preliminary results presented show that voiced, unvoiced and silence periods are well characterised using these statistical measures even when applied over a short term (milliseconds).",

keywords = "High order statistics, Kurtosis, Skew, Speech analysis, Speech processing",

author = "Orr, \{Michael C.\} and Lithgow, \{Brian J.\} and Robert Mahony",

year = "2002",

doi = "10.1109/IEMBS.2002.1134446",

language = "English",

isbn = "0780376129",

volume = "1",

pages = "180--181",

booktitle = "Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society",

note = "International Conference of the IEEE Engineering in Medicine and Biology Society and Annual Fall Meeting of the Biomedical Engineering Society 2002, BMES/EMBC 2002 ; Conference date: 23-10-2002 Through 26-10-2002",

url = "https://ieeexplore.ieee.org/xpl/conhome/8123/proceeding?isnumber=25190",

}

Orr, MC, Lithgow, BJ & Mahony, R 2002, Speech features found in a continuous high order statistical analysis of speech. in Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society. vol. 1, pp. 180-181, International Conference of the IEEE Engineering in Medicine and Biology Society and Annual Fall Meeting of the Biomedical Engineering Society 2002, Houston, Texas, United States of America, 23/10/02. https://doi.org/10.1109/IEMBS.2002.1134446

Speech features found in a continuous high order statistical analysis of speech. / Orr, Michael C.; Lithgow, Brian J.; Mahony, Robert.
Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society. Vol. 1 2002. p. 180-181.

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

TY - GEN

T1 - Speech features found in a continuous high order statistical analysis of speech

AU - Orr, Michael C.

AU - Lithgow, Brian J.

AU - Mahony, Robert

N1 - Conference code: 2nd

PY - 2002

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N2 - Statistical measures commonly used in signal processing applications such as blind equalisation and optimal filter design are often applied over long periods (seconds). This paper introduces a technique for analysing speech in the time domain using high order statistics. Preliminary results presented show that voiced, unvoiced and silence periods are well characterised using these statistical measures even when applied over a short term (milliseconds).

AB - Statistical measures commonly used in signal processing applications such as blind equalisation and optimal filter design are often applied over long periods (seconds). This paper introduces a technique for analysing speech in the time domain using high order statistics. Preliminary results presented show that voiced, unvoiced and silence periods are well characterised using these statistical measures even when applied over a short term (milliseconds).

KW - High order statistics

KW - Kurtosis

KW - Skew

KW - Speech analysis

KW - Speech processing

UR - https://www.scopus.com/pages/publications/0036907791

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DO - 10.1109/IEMBS.2002.1134446

M3 - Conference Paper

AN - SCOPUS:0036907791

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VL - 1

SP - 180

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BT - Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society

T2 - International Conference of the IEEE Engineering in Medicine and Biology Society and Annual Fall Meeting of the Biomedical Engineering Society 2002

Y2 - 23 October 2002 through 26 October 2002

ER -

Speech features found in a continuous high order statistical analysis of speech

Abstract

Conference

Keywords

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