Mel-frequency cepstral coefficients of voice source waveforms for classification of phonation types in speech

Sudarsana Reddy Kadiri; Paavo Alku

doi:10.21437/Interspeech.2019-2863

Mel-frequency cepstral coefficients of voice source waveforms for classification of phonation types in speech

Sudarsana Reddy Kadiri
, Paavo Alku

Speech Communication Technology

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

13 Sitaatiot (Scopus)

432 Lataukset (Pure)

Abstrakti

Voice source characteristics in different phonation types vary due to the tension of laryngeal muscles along with the respiratory effort. This study investigates the use of mel-frequency cepstral coefficients (MFCCs) derived from voice source waveforms for classification of phonation types in speech. The cepstral coefficients are computed using two source waveforms: (1) glottal flow waveforms estimated by the quasi-closed phase (QCP) glottal inverse filtering method and (2) approximate voice source waveforms obtained using the zero frequency filtering (ZFF) method. QCP estimates voice source waveforms based on the source-filter decomposition while ZFF yields source waveforms without explicitly computing the source-filter decomposition. Experiments using MFCCs computed from the two source waveforms show improved accuracy in classification of phonation types compared to the existing voice source features and conventional MFCC features. Further, it is observed that the proposed features have complimentary information to the existing features.

Alkuperäiskieli	Englanti
Otsikko	Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Kustantaja	International Speech Communication Association (ISCA)
Sivut	2508-2512
Sivumäärä	5
Vuosikerta	2019-September
DOI - pysyväislinkit	https://doi.org/10.21437/Interspeech.2019-2863
Tila	Julkaistu - 1 tammik. 2019
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	Interspeech - Graz, Itävalta Kesto: 15 syysk. 2019 → 19 syysk. 2019 https://www.interspeech2019.org/

Julkaisusarja

Nimi	Interspeech - Annual Conference of the International Speech Communication Association, INTERSPEECH
ISSN (elektroninen)	2308-457X

Conference

Conference	Interspeech
Maa/Alue	Itävalta
Kaupunki	Graz
Ajanjakso	15/09/2019 → 19/09/2019
www-osoite	https://www.interspeech2019.org/

Rahoitus

This study was partly funded by the Academy of Finland (project no. 312490).

Pääsy asiakirjaan

10.21437/Interspeech.2019-2863

ELEC_Kadiri_Mel-frequency_cepstral_INTERSPEECHFinal published version, 700 KB

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Link to publication in Scopus

1 Päättynyt

Poikkitieteellinen parametrisen puhesynteesin tutkimusprojekti
Alku, P. (Vastuullinen johtaja), Bäckström, T. (Projektin jäsen), Nonavinakere Prabhakera, N. (Projektin jäsen), Bollepalli, B. (Projektin jäsen), Murtola, T. (Projektin jäsen), Airaksinen, M. (Projektin jäsen) & Juvela, L. (Projektin jäsen)
01/01/2018 → 31/12/2019
Projekti: Academy of Finland: Other research funding

Siteeraa tätä

Kadiri, S. R., & Alku, P. (2019). Mel-frequency cepstral coefficients of voice source waveforms for classification of phonation types in speech. teoksessa Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (Vuosikerta 2019-September, Sivut 2508-2512). (Interspeech - Annual Conference of the International Speech Communication Association, INTERSPEECH). International Speech Communication Association (ISCA). https://doi.org/10.21437/Interspeech.2019-2863

Kadiri, Sudarsana Reddy ; Alku, Paavo. / Mel-frequency cepstral coefficients of voice source waveforms for classification of phonation types in speech. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Vuosikerta 2019-September International Speech Communication Association (ISCA), 2019. Sivut 2508-2512 (Interspeech - Annual Conference of the International Speech Communication Association, INTERSPEECH).

@inproceedings{d512c3fbcf234209b0109bcb51febe3a,

title = "Mel-frequency cepstral coefficients of voice source waveforms for classification of phonation types in speech",

abstract = "Voice source characteristics in different phonation types vary due to the tension of laryngeal muscles along with the respiratory effort. This study investigates the use of mel-frequency cepstral coefficients (MFCCs) derived from voice source waveforms for classification of phonation types in speech. The cepstral coefficients are computed using two source waveforms: (1) glottal flow waveforms estimated by the quasi-closed phase (QCP) glottal inverse filtering method and (2) approximate voice source waveforms obtained using the zero frequency filtering (ZFF) method. QCP estimates voice source waveforms based on the source-filter decomposition while ZFF yields source waveforms without explicitly computing the source-filter decomposition. Experiments using MFCCs computed from the two source waveforms show improved accuracy in classification of phonation types compared to the existing voice source features and conventional MFCC features. Further, it is observed that the proposed features have complimentary information to the existing features.",

keywords = "Glottal inverse filtering, Phonation type, Speech analysis, Voice quality, Voice source, Zero frequency filtering",

author = "Kadiri, \{Sudarsana Reddy\} and Paavo Alku",

year = "2019",

month = jan,

day = "1",

doi = "10.21437/Interspeech.2019-2863",

language = "English",

volume = "2019-September",

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

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

pages = "2508--2512",

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

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note = "Interspeech ; Conference date: 15-09-2019 Through 19-09-2019",

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Kadiri, SR & Alku, P 2019, Mel-frequency cepstral coefficients of voice source waveforms for classification of phonation types in speech. julkaisussa Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Vuosikerta 2019-September, Interspeech - Annual Conference of the International Speech Communication Association, INTERSPEECH, International Speech Communication Association (ISCA), Sivut 2508-2512, Interspeech, Graz, Itävalta, 15/09/2019. https://doi.org/10.21437/Interspeech.2019-2863

Mel-frequency cepstral coefficients of voice source waveforms for classification of phonation types in speech. / Kadiri, Sudarsana Reddy; Alku, Paavo.
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Vuosikerta 2019-September International Speech Communication Association (ISCA), 2019. s. 2508-2512 (Interspeech - Annual Conference of the International Speech Communication Association, INTERSPEECH).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

TY - GEN

T1 - Mel-frequency cepstral coefficients of voice source waveforms for classification of phonation types in speech

AU - Kadiri, Sudarsana Reddy

AU - Alku, Paavo

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Voice source characteristics in different phonation types vary due to the tension of laryngeal muscles along with the respiratory effort. This study investigates the use of mel-frequency cepstral coefficients (MFCCs) derived from voice source waveforms for classification of phonation types in speech. The cepstral coefficients are computed using two source waveforms: (1) glottal flow waveforms estimated by the quasi-closed phase (QCP) glottal inverse filtering method and (2) approximate voice source waveforms obtained using the zero frequency filtering (ZFF) method. QCP estimates voice source waveforms based on the source-filter decomposition while ZFF yields source waveforms without explicitly computing the source-filter decomposition. Experiments using MFCCs computed from the two source waveforms show improved accuracy in classification of phonation types compared to the existing voice source features and conventional MFCC features. Further, it is observed that the proposed features have complimentary information to the existing features.

AB - Voice source characteristics in different phonation types vary due to the tension of laryngeal muscles along with the respiratory effort. This study investigates the use of mel-frequency cepstral coefficients (MFCCs) derived from voice source waveforms for classification of phonation types in speech. The cepstral coefficients are computed using two source waveforms: (1) glottal flow waveforms estimated by the quasi-closed phase (QCP) glottal inverse filtering method and (2) approximate voice source waveforms obtained using the zero frequency filtering (ZFF) method. QCP estimates voice source waveforms based on the source-filter decomposition while ZFF yields source waveforms without explicitly computing the source-filter decomposition. Experiments using MFCCs computed from the two source waveforms show improved accuracy in classification of phonation types compared to the existing voice source features and conventional MFCC features. Further, it is observed that the proposed features have complimentary information to the existing features.

KW - Glottal inverse filtering

KW - Phonation type

KW - Speech analysis

KW - Voice quality

KW - Voice source

KW - Zero frequency filtering

UR - https://www.scopus.com/pages/publications/85074692228

U2 - 10.21437/Interspeech.2019-2863

DO - 10.21437/Interspeech.2019-2863

M3 - Conference article in proceedings

AN - SCOPUS:85074692228

VL - 2019-September

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

SP - 2508

EP - 2512

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

PB - International Speech Communication Association (ISCA)

T2 - Interspeech

Y2 - 15 September 2019 through 19 September 2019

ER -

Kadiri SR, Alku P. Mel-frequency cepstral coefficients of voice source waveforms for classification of phonation types in speech. julkaisussa Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Vuosikerta 2019-September. International Speech Communication Association (ISCA). 2019. s. 2508-2512. (Interspeech - Annual Conference of the International Speech Communication Association, INTERSPEECH). doi: 10.21437/Interspeech.2019-2863

Mel-frequency cepstral coefficients of voice source waveforms for classification of phonation types in speech

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Julkaisusarja

Conference

Rahoitus

Pääsy asiakirjaan

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