F0 Estimation of Speech Using SRH Based on TV-CAR Speech Analysis
Summary :
This paper proposes novel robust speech F0 estimation using Summation Residual Harmonics (SRH) based on TV-CAR (Time-Varying Complex AR) analysis. The SRH-based F0 estimation was proposed by A. Alwan, in which the criterion is calculated from LP residual signals. The criterion is summation of residual spectrum value for harmonics. In this paper, we propose SRH-based F0 estimation based on the TV-CAR analysis, in which the criterion is calculated from the complex AR residual. Since complex AR residual provides higher resolution of spectrum, it can be considered that the criterion is effective for F0 estimation. The experimental results demonstrate that the proposed method performs better than conventional methods; weighted auto-correlation and YIN.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E96-A No.11 pp.2187-2190
- Publication Date
- 2013/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E96.A.2187
- Type of Manuscript
- Special Section LETTER (Special Section on Smart Multimedia & Communication Systems)
- Category
- Engineering Acoustics
Authors
Keiichi FUNAKI
University of the Ryukyus
Takehito HIGA
University of the Ryukyus
Keyword
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Keiichi FUNAKI, Takehito HIGA, "F0 Estimation of Speech Using SRH Based on TV-CAR Speech Analysis" in IEICE TRANSACTIONS on Fundamentals,
vol. E96-A, no. 11, pp. 2187-2190, November 2013, doi: 10.1587/transfun.E96.A.2187.
Abstract: This paper proposes novel robust speech F0 estimation using Summation Residual Harmonics (SRH) based on TV-CAR (Time-Varying Complex AR) analysis. The SRH-based F0 estimation was proposed by A. Alwan, in which the criterion is calculated from LP residual signals. The criterion is summation of residual spectrum value for harmonics. In this paper, we propose SRH-based F0 estimation based on the TV-CAR analysis, in which the criterion is calculated from the complex AR residual. Since complex AR residual provides higher resolution of spectrum, it can be considered that the criterion is effective for F0 estimation. The experimental results demonstrate that the proposed method performs better than conventional methods; weighted auto-correlation and YIN.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E96.A.2187/_p
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@ARTICLE{e96-a_11_2187,
author={Keiichi FUNAKI, Takehito HIGA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={F0 Estimation of Speech Using SRH Based on TV-CAR Speech Analysis},
year={2013},
volume={E96-A},
number={11},
pages={2187-2190},
abstract={This paper proposes novel robust speech F0 estimation using Summation Residual Harmonics (SRH) based on TV-CAR (Time-Varying Complex AR) analysis. The SRH-based F0 estimation was proposed by A. Alwan, in which the criterion is calculated from LP residual signals. The criterion is summation of residual spectrum value for harmonics. In this paper, we propose SRH-based F0 estimation based on the TV-CAR analysis, in which the criterion is calculated from the complex AR residual. Since complex AR residual provides higher resolution of spectrum, it can be considered that the criterion is effective for F0 estimation. The experimental results demonstrate that the proposed method performs better than conventional methods; weighted auto-correlation and YIN.},
keywords={},
doi={10.1587/transfun.E96.A.2187},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - F0 Estimation of Speech Using SRH Based on TV-CAR Speech Analysis
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2187
EP - 2190
AU - Keiichi FUNAKI
AU - Takehito HIGA
PY - 2013
DO - 10.1587/transfun.E96.A.2187
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E96-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2013
AB - This paper proposes novel robust speech F0 estimation using Summation Residual Harmonics (SRH) based on TV-CAR (Time-Varying Complex AR) analysis. The SRH-based F0 estimation was proposed by A. Alwan, in which the criterion is calculated from LP residual signals. The criterion is summation of residual spectrum value for harmonics. In this paper, we propose SRH-based F0 estimation based on the TV-CAR analysis, in which the criterion is calculated from the complex AR residual. Since complex AR residual provides higher resolution of spectrum, it can be considered that the criterion is effective for F0 estimation. The experimental results demonstrate that the proposed method performs better than conventional methods; weighted auto-correlation and YIN.
ER -
English
