1. A method for automatic speech recognition (ASR) and vocoding (VC), comprising the steps of: converting a first signal representing speech to a second signal having raw mel capstrum vector (MCV) and a third signal having raw pitch; subtracting a calibration vector from said MCV to form a difference vector; multiplying a calibration matrix with said difference vector to produce a recalibrated MCV; recalibrating said raw pitch with a logarithmic function; concatenating said recalibrated MCV with said recalibrated pitch to form a recalibrated vector; compressing and quantizing said recalibrated vector to form a vector quantized signal; and forwarding said vector quantized signal to a remote receiver for decoding said vector quantized signal received by the remote receiver to recover said speech.
1. A method for automatic speech recognition (ASR) and vocoding (VC), comprising the steps of: converting a first signal representing speech to a second signal having raw mel capstrum vector (MCV) and a third signal having raw pitch; subtracting a calibration vector from said MCV to form a difference vector; multiplying a calibration matrix with said difference vector to produce a recalibrated MCV; recalibrating said raw pitch with a logarithmic function; concatenating said recalibrated MCV with said recalibrated pitch to form a recalibrated vector; compressing and quantizing said recalibrated vector to form a vector quantized signal; and forwarding said vector quantized signal to a remote receiver for decoding said vector quantized signal received by the remote receiver to recover said speech. 2. The method according to claim 1, wherein said compressing and quantifying step includes slopes compression.