elemination method.ㅏㅏ
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The present invention relates to a noise processing apparatus and method for speech recognition in a noisy environment, and aims to improve speech recognition performance by designing and applying a transfer function of a suitable Wiener filter for each vowel / vowel period. To do this, we first use a Gaussian model-based speech section detector to detect the speech section for the input noise speech, and combine the vowel start point considering the variation of the LPC residual signal with the speech section information to classify the speech section. Estimate Based on the estimated speech section information, the transfer function of the Wiener filter depending on the ruler / vowel section is obtained. That is, the Wiener filter transfer function is designed differently in the consonant section and the vowel section. In particular, the noise removal in the consonant section is designed to be less than the noise removal in the vowel section. The interval is also prevented from being removed along with the noise. The designed Wiener filter is finally applied to the input noise voice to produce a noise-free output voice.
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