Article | 01-December-2015
S-transform (ST) is an effective time-frequency representation method with the advantages of short-time Fourier transform and wavelet transform. This paper utilizes the advantages of the power spectral subtraction method and the speech enhancement method to presents a novel speech enhancement algorithm based on discrete ST. Firstly, the speech in time domain is transformed by ST to joint time-frequency domain for spectral subtraction so that the clear speech spectrum can be obtained and then
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 4, 2231–2246
research-article | 30-November-2020
Transform (STFT) to analyse the signal from acoustic sensors. STFT is an extension of the Fourier Transform for non-stationary signals (those signals which change characteristics over time). STFT converts a signal from the time domain to the time-frequency domain.
The Wavelet Transform is a superior method for analysing non-stationary signals and is used in various applications such as image processing, data compression, de-noising, etc. (Shukla, 2013). Similar to the STFT, this method uses the time
International Journal on Smart Sensing and Intelligent Systems, Volume 14 , ISSUE 1, 1–13