Noise Robust Speaker-Independent Speech Recognition with Invariant-Integration Features Using Power-Bias Subtraction

Florian Müller; Alfred Mertins

Noise Robust Speaker-Independent Speech Recognition with Invariant-Integration Features Using Power-Bias Subtraction

Institut für Signalverarbeitung

Abstract

This paper presents new results about the robustness of invariant-integration features (IIF) in noisy conditions. Furthermore, it is shown that a feature-enhancement method known as "powerbias subtraction: for noisy conditions can be combined with the IIF approach to improve its performance in noisy environments while keeping the robustness of the IIFs to mismatching vocal-tract length training-testing conditions. Results of experiments with training on clean speech only as well as experiments with matched-condition training are presented.

Originalsprache	Englisch
Titel	Proc. Interspeech-2011
Seitenumfang	4
Erscheinungsort	Florence, Italy
Herausgeber (Verlag)	International Speech Communication Association (ISCA)
Erscheinungsdatum	01.08.2011
Seiten	1677-1680
Publikationsstatus	Veröffentlicht - 01.08.2011
Veranstaltung	12th Annual Conference of the International Speech Communication Association - Florence, Italien Dauer: 27.08.2011 → 31.08.2011 Konferenznummer: 92405

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https://www.isca-speech.org/archive/archive_papers/interspeech_2011/i11_1677.pdf

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https://www.scopus.com/record/display.uri?eid=2-s2.0-84865744455&origin=inward&txGid=45d45d6cbacb3b55c34866d41a10d2ee

Invariante Merkmale für die automatische Spracherkennung auf der Basis von komplexen Modellen der Spracherzeugung und der auditorischen Wahrnehmung
Mertins, A.
01.01.11 → 31.12.13
Projekt: DFG-Projekte › DFG Einzelförderungen

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Müller, F., & Mertins, A. (2011). Noise Robust Speaker-Independent Speech Recognition with Invariant-Integration Features Using Power-Bias Subtraction. in Proc. Interspeech-2011 (S. 1677-1680). (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH). International Speech Communication Association (ISCA). https://www.isca-speech.org/archive/archive_papers/interspeech_2011/i11_1677.pdf

Müller, Florian ; Mertins, Alfred. / Noise Robust Speaker-Independent Speech Recognition with Invariant-Integration Features Using Power-Bias Subtraction. Proc. Interspeech-2011. Florence, Italy : International Speech Communication Association (ISCA), 2011. S. 1677-1680 (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH).

@inproceedings{0f2053b758d94703ae7a490d4abfa55e,

title = "Noise Robust Speaker-Independent Speech Recognition with Invariant-Integration Features Using Power-Bias Subtraction",

abstract = "This paper presents new results about the robustness of invariant-integration features (IIF) in noisy conditions. Furthermore, it is shown that a feature-enhancement method known as {"}powerbias subtraction: for noisy conditions can be combined with the IIF approach to improve its performance in noisy environments while keeping the robustness of the IIFs to mismatching vocal-tract length training-testing conditions. Results of experiments with training on clean speech only as well as experiments with matched-condition training are presented. ",

author = "Florian M{\"u}ller and Alfred Mertins",

year = "2011",

month = aug,

day = "1",

language = "English",

series = "Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH",

publisher = " International Speech Communication Association (ISCA)",

pages = "1677--1680",

booktitle = "Proc. Interspeech-2011",

note = "12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011 ; Conference date: 27-08-2011 Through 31-08-2011",

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Müller, F & Mertins, A 2011, Noise Robust Speaker-Independent Speech Recognition with Invariant-Integration Features Using Power-Bias Subtraction. in Proc. Interspeech-2011. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, International Speech Communication Association (ISCA), Florence, Italy, S. 1677-1680, 12th Annual Conference of the International Speech Communication Association, Florence, Italien, 27.08.11. <https://www.isca-speech.org/archive/archive_papers/interspeech_2011/i11_1677.pdf>

Noise Robust Speaker-Independent Speech Recognition with Invariant-Integration Features Using Power-Bias Subtraction. / Müller, Florian; Mertins, Alfred.
Proc. Interspeech-2011. Florence, Italy: International Speech Communication Association (ISCA), 2011. S. 1677-1680 (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH).

Publikation: Kapitel in Büchern/Berichten/Konferenzbänden › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Noise Robust Speaker-Independent Speech Recognition with Invariant-Integration Features Using Power-Bias Subtraction

AU - Müller, Florian

AU - Mertins, Alfred

N1 - Conference code: 92405

PY - 2011/8/1

Y1 - 2011/8/1

N2 - This paper presents new results about the robustness of invariant-integration features (IIF) in noisy conditions. Furthermore, it is shown that a feature-enhancement method known as "powerbias subtraction: for noisy conditions can be combined with the IIF approach to improve its performance in noisy environments while keeping the robustness of the IIFs to mismatching vocal-tract length training-testing conditions. Results of experiments with training on clean speech only as well as experiments with matched-condition training are presented.

AB - This paper presents new results about the robustness of invariant-integration features (IIF) in noisy conditions. Furthermore, it is shown that a feature-enhancement method known as "powerbias subtraction: for noisy conditions can be combined with the IIF approach to improve its performance in noisy environments while keeping the robustness of the IIFs to mismatching vocal-tract length training-testing conditions. Results of experiments with training on clean speech only as well as experiments with matched-condition training are presented.

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M3 - Conference contribution

T3 - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

SP - 1677

EP - 1680

BT - Proc. Interspeech-2011

PB - International Speech Communication Association (ISCA)

CY - Florence, Italy

T2 - 12th Annual Conference of the International Speech Communication Association

Y2 - 27 August 2011 through 31 August 2011

ER -

Noise Robust Speaker-Independent Speech Recognition with Invariant-Integration Features Using Power-Bias Subtraction

Abstract

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Invariante Merkmale für die automatische Spracherkennung auf der Basis von komplexen Modellen der Spracherzeugung und der auditorischen Wahrnehmung

Zitieren