Abstract: Speech signals are transformed into phoneme identification signals which represent the first two positive slope durations following the maximum peak amplitude of a pitch cycle.

Abstract: Waveform significant event parameters based on the duration of a first running average of the duration of positive slope portions and a second running average of the duration of negative slope portions of the wave, include occurrences of dwells, creeps, and rapid changes in the values of the running averages.

Abstract: Sounds produced by human or mechanical sources are recognized by comparison of certain waveform characteristic ratios with prestored ratios. Transitions and transition glides of characteristics are used to select certain stored groups of ratios for comparing.

Abstract: A system and method for speech recognition provides a means of printing phonemes in response to received speech signals utilizing inexpensive components. The speech signals are inputted into an amplifier which provides negative feedback to normalize the amplitude of the speech signals. The normalized speech signals are delta modulated at a first sampling rate to produce a corresponding first sequence of digital pulses. The negative feedback signal of the amplifier is delta modulated at a second sampling rate to produce a second sequence of digital pulses corresponding to amplitude information of the speech signals. The speech signals are filtered and utilized to produce a digital pulse corresponding to high frequency components of the speech signals having magnitudes in excess of a threshold voltage.