STFT based Blind Separation of Underdetermined Speech Mixtures
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چکیده
Analysis of non stationary signals like audio, speech and biomedical signals require good resolution both in time and frequency as their spectral components are not fixed. There are many applications of time-frequency analysis in non stationary signals like source separation, signal denoising etc. This paper presents an application of time frequency analysis using STFT, Short Time Fourier Transform in speech separation. The method is blind since the information about the sources and mixing type is not available. The method uses relative amplitude information of speech mixtures in time frequency domain and ideal binary mask of source signals. The speech mixture used is underdetermined where number of sources are more than
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STFT based Blind Separation of Underdetermined Speech Mixtures
Analysis of non stationary signals like audio, speech and biomedical signals require good resolution both in time and frequency as their spectral components are not fixed. There are many applications of time-frequency analysis in non stationary signals like source separation, signal denoising etc. This paper presents an application of time frequency analysis using STFT, Short Time Fourier Trans...
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