2010
DOI: 10.1007/978-3-642-11509-7_18
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Abstract: Abstract. This paper addresses the problem of single speech enhancement in adverse environment. The common noise reduction techniques are limited by a tradeoff between an efficient noise reduction, a minimum of speech distortion and musical noise.in this work, we propose a new speech enhancement approach based on non-uniform multi-band analysis. The noisy signal is divided into a number of sub-bands using a gammachirp filter bank with non-linear ERB resolution, and the sub-bands signals are individually weight… Show more

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“…The better performance on subjective and objective tests was achieved compared with typical Wiener filter and statistical-model-based methods. Zoghlami proposed an enhancement approach [6] for noise reduction based on non-uniform multi-band analysis. The noisy signal spectral band is divided into subbands using a gammatone filterbank, and the sub-bands signals were individually weighted according to the power spectral subtraction technique and the Ephraim and Malah's spectral attenuation algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…The better performance on subjective and objective tests was achieved compared with typical Wiener filter and statistical-model-based methods. Zoghlami proposed an enhancement approach [6] for noise reduction based on non-uniform multi-band analysis. The noisy signal spectral band is divided into subbands using a gammatone filterbank, and the sub-bands signals were individually weighted according to the power spectral subtraction technique and the Ephraim and Malah's spectral attenuation algorithm.…”
Section: Introductionmentioning
confidence: 99%