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Estimation of vowel spectra near vocal chords with restoration of a clipped speech signal. / Barabanov, Andrey; Evdokimova, Vera; Skrelin, Pavel.

Speech and Computer - 17th International Conference, SPECOM 2015, Proceedings. ed. / Andrey Ronzhin; Rodmonga Potapova; Nikos Fakotakis. Springer Nature, 2015. p. 209-216 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9319).

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

Harvard

Barabanov, A, Evdokimova, V & Skrelin, P 2015, Estimation of vowel spectra near vocal chords with restoration of a clipped speech signal. in A Ronzhin, R Potapova & N Fakotakis (eds), Speech and Computer - 17th International Conference, SPECOM 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9319, Springer Nature, pp. 209-216, 17th International Conference on Speech and Computer, SPECOM 2015, Athens, Greece, 20/09/15. https://doi.org/10.1007/978-3-319-23132-7_26, https://doi.org/10.1007/978-3-319-23132-7_26

APA

Barabanov, A., Evdokimova, V., & Skrelin, P. (2015). Estimation of vowel spectra near vocal chords with restoration of a clipped speech signal. In A. Ronzhin, R. Potapova, & N. Fakotakis (Eds.), Speech and Computer - 17th International Conference, SPECOM 2015, Proceedings (pp. 209-216). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9319). Springer Nature. https://doi.org/10.1007/978-3-319-23132-7_26, https://doi.org/10.1007/978-3-319-23132-7_26

Vancouver

Barabanov A, Evdokimova V, Skrelin P. Estimation of vowel spectra near vocal chords with restoration of a clipped speech signal. In Ronzhin A, Potapova R, Fakotakis N, editors, Speech and Computer - 17th International Conference, SPECOM 2015, Proceedings. Springer Nature. 2015. p. 209-216. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-23132-7_26, https://doi.org/10.1007/978-3-319-23132-7_26

Author

Barabanov, Andrey ; Evdokimova, Vera ; Skrelin, Pavel. / Estimation of vowel spectra near vocal chords with restoration of a clipped speech signal. Speech and Computer - 17th International Conference, SPECOM 2015, Proceedings. editor / Andrey Ronzhin ; Rodmonga Potapova ; Nikos Fakotakis. Springer Nature, 2015. pp. 209-216 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{b42c1b715ebd4a8d98db15d787a2a446,
title = "Estimation of vowel spectra near vocal chords with restoration of a clipped speech signal",
abstract = "Speech signals with Russian vowels were recorded simultaneously by two microphones. The first microphone was located in the larynx near the vocal chords and the second one was outside a mouth near the lips. A signal in the inner microphone is formed by the vocal chords and contains a weak reverberation echo. It is clipped to a half of the energy because of the sensitivity restrictions on the microphone. A new mathematical algorithm is proposed for restoration of the clipped signal part. The restored signal sounds better. The restored spectra of vowels contain the first formant that cannot be explained by a backward reverberation. A transfer function of the vocal tract is estimated by comparing spectra of the signals from the input and output microphones.",
keywords = "Restoration of clipped signal, Vocal chords, Vocal transfer function",
author = "Andrey Barabanov and Vera Evdokimova and Pavel Skrelin",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015. Copyright: Copyright 2015 Elsevier B.V., All rights reserved.; 17th International Conference on Speech and Computer, SPECOM 2015 ; Conference date: 20-09-2015 Through 24-09-2015",
year = "2015",
doi = "10.1007/978-3-319-23132-7_26",
language = "English",
isbn = "9783319231310",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "209--216",
editor = "Andrey Ronzhin and Rodmonga Potapova and Nikos Fakotakis",
booktitle = "Speech and Computer - 17th International Conference, SPECOM 2015, Proceedings",
address = "Germany",

}

RIS

TY - GEN

T1 - Estimation of vowel spectra near vocal chords with restoration of a clipped speech signal

AU - Barabanov, Andrey

AU - Evdokimova, Vera

AU - Skrelin, Pavel

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015. Copyright: Copyright 2015 Elsevier B.V., All rights reserved.

PY - 2015

Y1 - 2015

N2 - Speech signals with Russian vowels were recorded simultaneously by two microphones. The first microphone was located in the larynx near the vocal chords and the second one was outside a mouth near the lips. A signal in the inner microphone is formed by the vocal chords and contains a weak reverberation echo. It is clipped to a half of the energy because of the sensitivity restrictions on the microphone. A new mathematical algorithm is proposed for restoration of the clipped signal part. The restored signal sounds better. The restored spectra of vowels contain the first formant that cannot be explained by a backward reverberation. A transfer function of the vocal tract is estimated by comparing spectra of the signals from the input and output microphones.

AB - Speech signals with Russian vowels were recorded simultaneously by two microphones. The first microphone was located in the larynx near the vocal chords and the second one was outside a mouth near the lips. A signal in the inner microphone is formed by the vocal chords and contains a weak reverberation echo. It is clipped to a half of the energy because of the sensitivity restrictions on the microphone. A new mathematical algorithm is proposed for restoration of the clipped signal part. The restored signal sounds better. The restored spectra of vowels contain the first formant that cannot be explained by a backward reverberation. A transfer function of the vocal tract is estimated by comparing spectra of the signals from the input and output microphones.

KW - Restoration of clipped signal

KW - Vocal chords

KW - Vocal transfer function

UR - http://www.scopus.com/inward/record.url?scp=84945918732&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-23132-7_26

DO - 10.1007/978-3-319-23132-7_26

M3 - Conference contribution

SN - 9783319231310

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 209

EP - 216

BT - Speech and Computer - 17th International Conference, SPECOM 2015, Proceedings

A2 - Ronzhin, Andrey

A2 - Potapova, Rodmonga

A2 - Fakotakis, Nikos

PB - Springer Nature

T2 - 17th International Conference on Speech and Computer, SPECOM 2015

Y2 - 20 September 2015 through 24 September 2015

ER -

ID: 3944800