In:
The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 114, No. 4_Supplement ( 2003-10-01), p. 2369-2369
Abstract:
In this paper, we propose a novel noise reduction of speech signals using sliding DFT (SDFT) which is based on the spectral subtraction method. The spectral subtraction method reduces noise by subtracting the spectrum of noise estimated from an input signal and is a relatively simple and effective technique. We use SDFT to obtain the frequency spectra of speech signals. As is well known, to obtain the successive N-points output, SDFT requires only N times of complex multiplication, although the Fast Fourier Transform (FFT) requires Nlog2N times that. Thus SDFT is computationally simple as compared with FFT. The frame length, N, is determined based on the pitch period. In this paper, the pitch period is estimated by using an ideal low-pass filter and the analytic signal that is obtained from speech signals by the Hilbert converter. Finally, it is shown that the proposed method has good performance for speech enhancement.
Type of Medium:
Online Resource
ISSN:
0001-4966
,
1520-8524
Language:
English
Publisher:
Acoustical Society of America (ASA)
Publication Date:
2003
detail.hit.zdb_id:
1461063-2
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