Precise estimation of harmonic parameter trend and modification of a speech signal

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Precise estimation of harmonic parameter trend and modification of a speech signal. / Barabanov, Andrey ; Magerkin, Valentin; Vikulov, Eugenij.

In: Lecture Notes in Computer Science, Vol. LNAI 9811, 2016, p. 547-554.

Research output: Contribution to journal › Article

BibTeX

@article{7775e97c64144ddf84721ba9c482eeb2,

title = "Precise estimation of harmonic parameter trend and modification of a speech signal",

abstract = "The high frequency part of the voiced speech signal beyond 4 kHz is very difficult to study and to decompose into harmonics. In the HNM this spectrum part is assumed to be noise. In this paper it is shown that the main problem is numerical. Faster harmonics have faster trends. It is necessary to implement precise estimation technique to estimate a high frequency complex amplitude on a short time interval. An illustrative example is supplied. In the second part of the paper a new modification technique is proposed for interpolation of the complex amplitudes in the case of intonation modification. Reliable estimates of harmonic complex amplitudes are necessary as inputs. Then a nonlinear rule is formulated that incorporates specific features of formants and their slopes.",

keywords = "harmonic speech model, parameter estimation, speech modification",

author = "Andrey Barabanov and Valentin Magerkin and Eugenij Vikulov",

year = "2016",

doi = "10.1007/978-3-319-43958-7_66",

language = "English",

volume = "LNAI 9811",

pages = "547--554",

journal = "Lecture Notes in Computer Science",

issn = "0302-9743",

publisher = "Springer Nature",

}

RIS

TY - JOUR

T1 - Precise estimation of harmonic parameter trend and modification of a speech signal

AU - Barabanov, Andrey

AU - Magerkin, Valentin

AU - Vikulov, Eugenij

PY - 2016

Y1 - 2016

N2 - The high frequency part of the voiced speech signal beyond 4 kHz is very difficult to study and to decompose into harmonics. In the HNM this spectrum part is assumed to be noise. In this paper it is shown that the main problem is numerical. Faster harmonics have faster trends. It is necessary to implement precise estimation technique to estimate a high frequency complex amplitude on a short time interval. An illustrative example is supplied. In the second part of the paper a new modification technique is proposed for interpolation of the complex amplitudes in the case of intonation modification. Reliable estimates of harmonic complex amplitudes are necessary as inputs. Then a nonlinear rule is formulated that incorporates specific features of formants and their slopes.

AB - The high frequency part of the voiced speech signal beyond 4 kHz is very difficult to study and to decompose into harmonics. In the HNM this spectrum part is assumed to be noise. In this paper it is shown that the main problem is numerical. Faster harmonics have faster trends. It is necessary to implement precise estimation technique to estimate a high frequency complex amplitude on a short time interval. An illustrative example is supplied. In the second part of the paper a new modification technique is proposed for interpolation of the complex amplitudes in the case of intonation modification. Reliable estimates of harmonic complex amplitudes are necessary as inputs. Then a nonlinear rule is formulated that incorporates specific features of formants and their slopes.

KW - harmonic speech model

KW - parameter estimation

KW - speech modification

U2 - 10.1007/978-3-319-43958-7_66

DO - 10.1007/978-3-319-43958-7_66

M3 - Article

VL - LNAI 9811

SP - 547

EP - 554

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

ER -

ID: 7581753