Abstract:
In a communication system (fig. 1) input predictive type signal is analyzed in successive time intervals to generate a set of prediction signals for the interval (135). A predictive residual signal is produced (109, 126) jointly responsive to the input signal and the interval prediction signals. The predictive residual signal is quantized (111) and encoded (112). The quantization includes dividing the prediction residual signal into a plurality of distinct portions (160) and selectively quantizing the distinct portions to improve intelligibility.
Abstract:
In a speech processing arrangement for synthesizing more natural sounding speech, a speech signal is partitioned into intervals (105). For each interval, a set of coded prediction parameter signals, pitch period and voicing signals, and a set of signals corresponding to the spectrum of the prediction error signal are produced (130). A replica of the speech signal is generated responsive to the coded pitch period and voicing signals as modified by the coded prediction parameter signals (140). The pitch period and voicing signals are shaped (150) responsive to the prediction error spectral signals (122, 124, 126) to compensate for errors in the predictive parameter signals whereby the speech replica is natural sounding.
Abstract:
A predictive speech signal processor features an adaptive filter (120) in a feedback network (137) around the quantizer (111). The adaptive filter (120) essentially combines the quantizing error signal, the formant related prediction parameter signals and the difference signal to concentrate the quantizing error noise in spectral peaks corresponding to the time-varying formant portions of the speech spectrum so that the quantizing noise is masked by the speech signal formants.