음질 개선을 위한 돌발잡음 제거와 음성복원 Abrupt Noise Cancellation and Speech Restoration for Speech Enhancement

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In this paper, speech quality is improved by removing abrupt noise intervals and then substituting the gaps with estimates of the previous speech waveform. An abrupt noise detection signal has been proposed as a prediction error signal by utilizing LP coefficients of the previous frame. Abrupt noise intervals are estimated by using spectral energy. After removing estimated noise intervals, we applied several waveform substitution techniques such as zero substitution, previous frame repetition, pattern matching, and pitch waveform replication. To prove the validity of our algorithm, the LPC spectral distortion test and the recognition test are executed and, the results show that the speech quality is fairly well improved.
Publisher
대한음성학회
Issue Date
2003-10
Citation

대한음성학회 학술대회논문집

URI
http://hdl.handle.net/10203/25520
Appears in Collection
EE-Conference Papers(학술회의논문)
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