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Speech Processing is one of the emerging technologies of Signal Processing. Some areas of Speech Processing are Speaker Recognition(SR), Gender Identification(GI), age prediction, etc. Speaker Recognition is a prime research area of signal processing. Speech Recognition means identifying the right speaker based on his/her voice sample. Gender Identification is an extension of Speaker Recognition that identifies the gender of the speaker. For SR and GI, two things are essential. One is coaching part and another is testing part. Feature extraction is that the extraction of tiny info from the obtainable audio wave signal. The signal is in .wav format. Feature Extraction is done various methods like FFT(Fast Fourier Transform), LPC(Linear Predictive Coefficients), MFFC(Mel Frequency Cepstral Coefficients) and many more. SR in this paper is achieved based on the co-variance technique as it is more accurate than FFT.GI is achieved through Low Pass Filtering and Rectangular Windowing techniques.

Co-Variance based Real Time Speaker Recognition and Gender Identification by Rectangular Window and Low Pass Filter