14. A voice recognition system, comprising: an interface circuit for receiving voice signals; and a processor coupled to the interface circuit, wherein the processor is adapted to: cause the interface circuit to sample a voice signal; apply a Fourier transform to a plurality of frame intervals of the sampled voice signal to generate spectral data having a spectral envelope for each of the plurality of frame intervals; subdivide the spectral data for each of the plurality of frame intervals into a plurality of bands; filter out the spectral envelope from the spectral data of each of the plurality of frame intervals to generate filtered spectral data for each of the plurality of frame intervals; apply a Fourier transform to the filtered spectral data for each of the plurality of bands to generate an autocorrelation function for each of the plurality of bands; measure a value of the magnitude of the autocorrelation function for each of the plurality of bands, whereby the value is a measure of a degree of voiceness for each of the plurality of bands; apply the degree of voiceness for each of the plurality of bands to a corresponding plurality of phoneme models; and derive a textual equivalent of speech from the voice signal by searching through a phoneme library according to predictions made by the corresponding plurality of phoneme models.
14. A voice recognition system, comprising: an interface circuit for receiving voice signals; and a processor coupled to the interface circuit, wherein the processor is adapted to: cause the interface circuit to sample a voice signal; apply a Fourier transform to a plurality of frame intervals of the sampled voice signal to generate spectral data having a spectral envelope for each of the plurality of frame intervals; subdivide the spectral data for each of the plurality of frame intervals into a plurality of bands; filter out the spectral envelope from the spectral data of each of the plurality of frame intervals to generate filtered spectral data for each of the plurality of frame intervals; apply a Fourier transform to the filtered spectral data for each of the plurality of bands to generate an autocorrelation function for each of the plurality of bands; measure a value of the magnitude of the autocorrelation function for each of the plurality of bands, whereby the value is a measure of a degree of voiceness for each of the plurality of bands; apply the degree of voiceness for each of the plurality of bands to a corresponding plurality of phoneme models; and derive a textual equivalent of speech from the voice signal by searching through a phoneme library according to predictions made by the corresponding plurality of phoneme models. 17. A radio communication system, comprising: a caller interface circuit comprising the voice recognition system as recited in claim 14 for receiving caller initiated messages; a transmitter for transmitting messages to a plurality of selective call radios; and a processing system coupled to the caller interface circuit, and the transmitter, wherein the processing system is adapted to: cause the caller interface circuit to receive from a caller a message intended for a selective call radio; cause the caller interface circuit to derive a textual equivalent of speech from the message; and cause the transmitter to transmit the textual equivalent of speech to the selective call radio, wherein the textual equivalent of speech is representative of the message initiated by the caller.