Autocorrelation-based noise subtraction method with smoothing, overestimation, energy, and cepstral mean and variance normalization for noisy speech recognition
Abstract Autocorrelation domain is a proper domain for clean speech signal and noise separation. In this paper, a method is proposed to decrease effects of noise on the clean speech signal, autocorrelation-based noise subtraction (ANS). Then to deal with the error introduced by assumption that noise...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2017-06-01
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| Series: | EURASIP Journal on Audio, Speech, and Music Processing |
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| Online Access: | http://link.springer.com/article/10.1186/s13636-017-0110-8 |