Stationary and Non-stationary Wide-Band Noise Reduction Using Zero Phase Signal

Thanhikam, Weerawut; Kamamori, Yuki; Kawamura, Arata; Iiguni, Youji

doi:10.1587/transfun.e95.a.843

Cited by 11 publications

(6 citation statements)

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“…One of the solutions is obtained by mapping the observed signal into the ZP domain. In this section, we explain about the ZP signal [8], [12], and temporal accumulation of ZP signal. By using the ZP signal and temporal accumulated ZP signal (TAZPS), we will also discuss a pitch estimation method in Section 4.…”

Section: Zero Phase Signalmentioning

confidence: 99%

“…It is obtained as the reciprocal function of the window for signal segmentation. When we use the hanning window, the scaling function sc() is given as [12] sc() = 1 + cos 2…”

Section: A Derivation Of Noise Reduction Systemmentioning

confidence: 99%

“…Here, this system requires the additional DFT and IDFT to achieve stationary and non-stationary wide-band noise reduction without a priori estimation of noise spectral amplitudes. One of most important parameters in the proposed method is the replacement size  which is presented in [12]. Another most important one is the pitch period  .…”

Section: A Derivation Of Noise Reduction Systemmentioning

confidence: 99%

“…Next, we choose the replacement size  in an empirical manner as proposed in [12]. The results for the four practical noises with Input SNR of 0dB are shown in [12].…”

Section: B Parameter Estimationmentioning

confidence: 99%

“…However, pitch estimation of this method is difficult in very low SNR environment. In this paper, we introduce period estimation using temporal accumulation proposed in [11] with the ZP noise suppressor proposed in [12] for suppressing noise which includes both of stationary and impulsive noise in very low SNR environment. Simulation results show that the proposed method is effective to reduce such wide-band noises.…”

Section: Introductionmentioning

confidence: 99%

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Noise suppressor using zero phase signal and temporal accumulation technique

Thanhikam¹

2013

2013 International Symposium on Intelligent Signal Processing and Communication Systems

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This paper proposes a wide-band noise reduction method using temporal accumulation and zero phase (ZP) signal. By replacing the ZP signal around the origin with the ZP signal in the second or latter period to get an estimated speech ZP signal, this method can reduce both stationary and nonstationary wide-band noises without a prior estimation of the noise spectral amplitude However, for very low SNR environment, reliable period estimation is difficult. This paper presents a study of period estimation in noisy speech based on temporal accumulated zero phase signal (TAZPS) representation. Since harmonic structure of speech changes much more slowly than noise spectrum, spectral peaks related to period harmonics would stand out over the noise through the accumulation. In this paper, we combine pitch estimation based on temporal accumulated ZP signal and noise suppressor. Simulation results show that the proposed noise reduction method further improves the SNR especially in a low SNR environment.

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Section: Zero Phase Signalmentioning

confidence: 99%

“…It is obtained as the reciprocal function of the window for signal segmentation. When we use the hanning window, the scaling function sc() is given as [12] sc() = 1 + cos 2…”

Section: A Derivation Of Noise Reduction Systemmentioning

confidence: 99%

Section: A Derivation Of Noise Reduction Systemmentioning

confidence: 99%

“…Next, we choose the replacement size  in an empirical manner as proposed in [12]. The results for the four practical noises with Input SNR of 0dB are shown in [12].…”

Section: B Parameter Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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