Time domain analysis of firing‐rate data from over 200 fibers from the auditory nerve of cat has been used to estimate the formats of the synthetic‐syllable stimuli. Distinct groups of fibers are identified based on intervals between peaks in the fiber firing rates. The large extent of some of these groups—over an octave in terms of characteristic frequency—and the lack of short intervals in the longer‐interval groups suggest that the behavior of the nonlinear cochlear filters for these signals is effectively wideband with steep high‐frequency cutoffs. The measured intervals within each group are very similar, and correspond to the period of the format that dominates the group’s response. These intervals are used to estimate the dynamic speech formants. The overall formant estimates are better than those of the previous spectral analyses of the neural data, and the details of lower‐formant dynamics are tracked more precisely. The direct temporal representation of the formant is contrasted with the diffuse spectral representation, the dependence of spectral peaks on nonformant parameters, and the distortion of the spectrum by rectification. It is concluded that a time‐domain analysis of the responses to complex stimuli can be an important addition to frequency‐domain analysis for neural data, cochlear models, and machine processing of speech.