Pipelined Architecture of Multi-Band Spectral Subtraction Algorithm for Speech Enhancement
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A new pipelined architecture of the multi-band spectral subtraction algorithm has been proposed for real-time speech enhancement and performances obtained are compared to those obtained by MATLAB simulation using simulated and actual noises.Abstract:
In this paper, a new pipelined architecture of the multi-band spectral subtraction algorithm has been proposed for real-time speech enhancement The proposed hardware has been implemented on field programmable gate array (FPGA) device using Xilinx system generator (XSG), high-level programming tool, and Nexys-4 development board The multi-band algorithm has been developed to reduce the additive colored noise that does not uniformly affect the entire frequency band of useful signal All the algorithm steps have been successfully implemented on hardware Pipelining has been employed on this hardware architecture to increase the data throughput Speech enhancement performances obtained by the hardware architecture are compared to those obtained by MATLAB simulation using simulated and actual noises The resource utilization, the maximum operating frequency, and power consumption are reported for a low-cost Artix-7 FPGA deviceread more
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Suppression of acoustic noise in speech using spectral subtraction
TL;DR: A stand-alone noise suppression algorithm that resynthesizes a speech waveform and can be used as a pre-processor to narrow-band voice communications systems, speech recognition systems, or speaker authentication systems.
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A multi-band spectral subtraction method for enhancing speech corrupted by colored noise
Sunil Kamath,Philipos C. Loizou +1 more
TL;DR: This paper proposes a multi-band spectral subtraction approach which takes into account the fact that colored noise affects the speech spectrum differently at various frequencies, resulting in superior speech quality and largely reduced musical noise.
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The unimportance of phase in speech enhancement
DeLiang Wang,Jae Lim +1 more
TL;DR: In this article, the importance of Fourier transform phase in speech enhancement is considered and it is shown that a more accurate estimation of phase is unwarranted in the S/N ratios where the intelligibility scores of unprocessed speech range from 5 to 95 percent.
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Spectral subtraction-based speech enhancement for cochlear implant patients in background noise
Li-Ping Yang,Qian-Jie Fu +1 more
TL;DR: The proposed speech enhancement algorithm utilizing speech pause detection and nonlinear spectral subtraction may be beneficial for implant users in noisy listening.