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http://dx.doi.org/10.7776/ASK.2012.31.1.029

Transient Noise Reduction in Speech Signal Utilizing a Long-term Predictor  

Choi, Min-Seok (연세대학교 전기전자공학과)
Kang, Hong-Goo (연세대학교 전기전자공학과)
Publication Information
The Journal of the Acoustical Society of Korea / v.31, no.1, 2012 , pp. 29-38 More about this Journal
Abstract
This paper presents a transient noise reduction system in a speech signal. The proposed transient noise reduction system utilizes a median filter to reduce the transient noise. Since the median filter can distort speech during the noise reduction, a long-term prediction (LTP) filter is adopted as a pre-processor to minimize speech distortion. The speech information preserved by the LTP filter is re-synthesized after reducing the noise. This paper verifies the weakness of a linear prediction (LP) filter and the superiority of the LTP filter for preserving the speech component in transient noise presence environment. Applying the proposed system, the signal-to-noise ratio (SNR) of output is improved by 8dB in both speech and noise presence region, and PESQ score is increased by 1 point comparing with noisy input.
Keywords
Speech signal processing; Transient noise; Transient noise reduction; Speech enhancement;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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