Speech Enhancement using Spectral Subtraction-type Algorithms: A Comparison and Simulation Study

@inproceedings{Upadhyay2015SpeechEU,
  title={Speech Enhancement using Spectral Subtraction-type Algorithms: A Comparison and Simulation Study},
  author={Navneet Upadhyay and Abhijit Karmakar},
  year={2015}
}
Abstract The spectral subtraction is historically one of the first algorithms proposed for the enhancement of single channel speech. In this method, the noise spectrum is estimated during speech pauses, and is subtracted from the noisy speech spectrum to estimate the clean speech. This is also achieved by multiplying the noisy speech spectrum with a gain function and later combining it with the phase of the noisy speech. The drawback of this method is the presence of processing distortions… CONTINUE READING

Similar Papers

Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 13 CITATIONS

Speech Enhancement Based on Spectral Subtraction Involving Magnitude and Phase Components

Miss Bhagat Nikita, Miss Chavan Prajakta, Miss Dhaigude Priyanka, Miss Ingole Nisha, Mr Ranaware Amarsinh
  • 2017
VIEW 5 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

A Non-Iterative Kalman Filter for Single Channel Speech Enhancement in Non-Stationary Noise Condition

  • 2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS)
  • 2018
VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

English Spoken Digits Database under noise conditions for research: SDDN

  • 2019 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS)
  • 2019
VIEW 1 EXCERPT
CITES BACKGROUND

A comparison of performance evaluation of ASR for noisy and enhanced signal using GMM

  • 2016 International Conference on Computing, Analytics and Security Trends (CAST)
  • 2016
VIEW 2 EXCERPTS
CITES BACKGROUND & METHODS