A LOW COMPLEXITY NOISE SUPPRESSOR WITH HYBRID FILTERBANKS AND ADAPTIVE TIME-FREQUENCY TILING

被引:0
|
作者
Shimada, Osamu
Sugiyama, Akihiko
Nomura, Toshiyuki
机构
关键词
Speech enhancement; Noise suppression; Low complexity; Hybrid filterbank; Adaptive time-frequency tiling; ENHANCEMENT; SPEECH;
D O I
10.1109/DSP.2009.4785891
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes a low complexity noise suppressor with hybrid filterbanks and adaptive time-frequency tiling. An analysis hybrid filterbank provides efficient transformation by further decomposing low-frequency bins after a coarse transformation with a short frame size. A synthesis hybrid filterbank also reduces computational complexity in a similar fashion to the analysis hybrid filterbank. Adaptive time-frequency tiling reduces the number of spectral gain calculations. It adaptively generates tiling information in the time-frequency plane based on the signal characteristics. The average number of instructions on a typical DSP chip has been reduced by 30% to 7.5 MIPS in case of mono signals sampled at 44.1 kHz. A Subjective test result shows that the sound quality of the proposed method is comparable to that of the conventional one.
引用
收藏
页码:32 / 36
页数:5
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