Borrowing the notion of instantaneous frequency that was developed in the context of time-frequency signal analysis, an instantaneous frequency amplitude spectrum (IFAS) is introduced for estimating fundamental frequency of speech signal in both noiseless and adverse environments. We define harmonicity measure as a quantity that indicates degree of periodical regularity in the IFAS and that shows substantial difference between periodic signal and noise-like waveform. The harmonicity measure is applied to estimate the existence of fundamental frequency. We provide experimental examples to demonstrate the general applicability of the harmonicity measure and apply the proposed procedure to Japanese continuous speech signals. The results show that the proposed method outperforms the conventional methods with or without the presence of noise.
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Dhany ARIFIANTO, Tomohiro TANAKA, Takashi MASUKO, Takao KOBAYASHI, "Robust F0 Estimation of Speech Signal Using Harmonicity Measure Based on Instantaneous Frequency" in IEICE TRANSACTIONS on Information,
vol. E87-D, no. 12, pp. 2812-2820, December 2004, doi: .
Abstract: Borrowing the notion of instantaneous frequency that was developed in the context of time-frequency signal analysis, an instantaneous frequency amplitude spectrum (IFAS) is introduced for estimating fundamental frequency of speech signal in both noiseless and adverse environments. We define harmonicity measure as a quantity that indicates degree of periodical regularity in the IFAS and that shows substantial difference between periodic signal and noise-like waveform. The harmonicity measure is applied to estimate the existence of fundamental frequency. We provide experimental examples to demonstrate the general applicability of the harmonicity measure and apply the proposed procedure to Japanese continuous speech signals. The results show that the proposed method outperforms the conventional methods with or without the presence of noise.
URL: https://globals.ieice.org/en_transactions/information/10.1587/e87-d_12_2812/_p
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@ARTICLE{e87-d_12_2812,
author={Dhany ARIFIANTO, Tomohiro TANAKA, Takashi MASUKO, Takao KOBAYASHI, },
journal={IEICE TRANSACTIONS on Information},
title={Robust F0 Estimation of Speech Signal Using Harmonicity Measure Based on Instantaneous Frequency},
year={2004},
volume={E87-D},
number={12},
pages={2812-2820},
abstract={Borrowing the notion of instantaneous frequency that was developed in the context of time-frequency signal analysis, an instantaneous frequency amplitude spectrum (IFAS) is introduced for estimating fundamental frequency of speech signal in both noiseless and adverse environments. We define harmonicity measure as a quantity that indicates degree of periodical regularity in the IFAS and that shows substantial difference between periodic signal and noise-like waveform. The harmonicity measure is applied to estimate the existence of fundamental frequency. We provide experimental examples to demonstrate the general applicability of the harmonicity measure and apply the proposed procedure to Japanese continuous speech signals. The results show that the proposed method outperforms the conventional methods with or without the presence of noise.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - Robust F0 Estimation of Speech Signal Using Harmonicity Measure Based on Instantaneous Frequency
T2 - IEICE TRANSACTIONS on Information
SP - 2812
EP - 2820
AU - Dhany ARIFIANTO
AU - Tomohiro TANAKA
AU - Takashi MASUKO
AU - Takao KOBAYASHI
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E87-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2004
AB - Borrowing the notion of instantaneous frequency that was developed in the context of time-frequency signal analysis, an instantaneous frequency amplitude spectrum (IFAS) is introduced for estimating fundamental frequency of speech signal in both noiseless and adverse environments. We define harmonicity measure as a quantity that indicates degree of periodical regularity in the IFAS and that shows substantial difference between periodic signal and noise-like waveform. The harmonicity measure is applied to estimate the existence of fundamental frequency. We provide experimental examples to demonstrate the general applicability of the harmonicity measure and apply the proposed procedure to Japanese continuous speech signals. The results show that the proposed method outperforms the conventional methods with or without the presence of noise.
ER -