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http://dx.doi.org/10.6109/jkiice.2013.17.2.280

Reference Channel Input-Based Speech Enhancement for Noise-Robust Recognition in Intelligent TV Applications  

Jeong, Sangbae (경상대학교)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.17, no.2, 2013 , pp. 280-286 More about this Journal
Abstract
In this paper, a noise reduction system is proposed for the speech interface in intelligent TV applications. To reduce TV speaker sound which are very serious noises degrading recognition performance, a noise reduction algorithm utilizing the direct TV sound as the reference noise input is implemented. In the proposed algorithm, transfer functions are estimated to compensate for the difference between the direct TV sound and that recorded with the microphone installed on the TV frame. Then, the noise power spectrum in the received signal is calculated to perform Wiener filter-based noise cancellation. Additionally, a postprocessing step is applied to reduce remaining noises. Experimental results show that the proposed algorithm shows 88% recognition rate for isolated Korean words at 5 dB input SNR.
Keywords
noise reduction; speech recognition; Wiener filter;
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