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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/4694

Title: Fundamental Frequency Estimation for Noisy Speech Using Entropy-Weighted Periodic and Harmonic Features
Authors: ISHIMOTO, Yuichi
AIKAWA, Kiyoaki
AKAGI, Masato
Keywords: fundamental frequency estimation
instantaneous amplitude
periodic feature
harmonic feature
Issue Date: 2004-01-01
Publisher: 電子情報通信学会
Magazine name: IEICE TRANSACTIONS on Information and Systems
Volume: E87-D
Number: 1
Start page: 205
End page: 214
Abstract: This paper proposes a robust method for estimating the fundamental frequency (F0) in real environments. It is assumed that the spectral structure of real environmental noise varies momentarily and its energy does not distribute evenly in the time-frequency domain. Therefore, segmenting a spectrogram of speech mixed with environmental noise into narrow time-frequency regions will produce low-noise regions in which the signal-to-noise ratio is high. The proposed method estimates F0 from the periodic and harmonic features that are clearly observed in the low-noise regions. It first uses two kinds of spectrogram, one with high frequency resolution and another with high temporal resolution, to represent the periodic and harmonic features corresponding to F0. Next, the method segments these two kinds of feature plane into narrow time-frequency regions, and calculates the probability function of F0 for each region. It then utilizes the entropy of the probability function as weight to emphasize the probability function in the low-noise region and to enhance noise robustness. Finally, the probability functions are grouped in each time, and F0 is obtained as the frequency with the highest probability of the function. The experimental results showed that, in comparison with other approaches such as the cepstrum method and the autocorrelation method, the developed method can more robustly estimate F0s from speech in the presence of band-limited noise and car noise.
Rights: Copyright (C)2004 IEICE. Yuichi ISHIMOTO, Kentaro ISHIZUKA, Kiyoaki AIKAWA, Masato AKAGI, IEICE TRANSACTIONS on Information and Systems, E87-D(1), 2004, 205-214. http://www.ieice.org/jpn/trans_online/
URI: http://hdl.handle.net/10119/4694
Material Type: publisher
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

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