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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/66340
Title: 
Noise reduction in speech signals using a TMS320C31 digital signal processor
Author(s): 
Institution: 
Universidade Estadual Paulista (UNESP)
Abstract: 
This paper describes a speech enhancement system (SES) based on a TMS320C31 digital signal processor (DSP) for real-time application. The SES algorithm is based on a modified spectral subtraction method and a new speech activity detector (SAD) is used. The system presents a medium computational load and a sampling rate up to 18 kHz can be used. The goal is load and a sampling rate up to 18 kHz can be used. The goal is to use it to reduce noise in an analog telephone line.
Issue Date: 
1-Dec-2000
Citation: 
Midwest Symposium on Circuits and Systems, v. 3, p. 1366-1369, 2000.
Time Duration: 
1366-1369
Keywords: 
  • Algorithms
  • Analog to digital conversion
  • Computational methods
  • Digital signal processing
  • Digital to analog conversion
  • Fast Fourier transforms
  • Noise abatement
  • Signal to noise ratio
  • Spectral subtraction
  • Speech enhancement systems
  • Speech signals
  • Speech processing
Source: 
http://dx.doi.org/10.1109/MWSCAS.2000.951468
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/66340
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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