14. A method according to claim 11 , further comprising: selecting the audio phrase represented by the signature for similar audio samples, comprising: reviewing the similar audio samples; and identifying a distinguished portion of at least one of the audio samples.
11. A method for identifying audio command prompts for use in a voice response environment, comprising: generating a signature for one or more received audio samples each having preceding audio, reference phrase audio, and trailing audio segments, comprising: removing the trailing audio segment and dividing each of the preceding audio and reference phrase audio segments into buffers; transforming the buffers into discrete fourier transform buffers; and selecting one of the discrete fourier transform buffers from the reference phrase audio segment that is least like any of the discrete fourier transform buffers from the preceding audio segment as the signature that identifies an audio phrase under the reference phrase audio segment for that audio sample, comprising: determining a preceding audio correlation coefficient between each of the discrete fourier transform buffers from the reference phrase audio segment and each of the discrete fourier transform buffers from the preceding audio segment; selecting for each of the discrete fourier transform buffers from the reference phrase audio segment, a maximum value of the preceding audio correlation coefficients; determining a reference audio correlation coefficient between each of the discrete fourier transform buffers in the reference phrase audio segment and the remaining discrete fourier transform buffers in the reference phrase audio segment; selecting for each of the discrete fourier transform buffers from the reference phrase audio segment, a maximum value of the reference audio correlation coefficients; determining a distance for each of the discrete fourier transform buffers in the reference phrase audio segment based on the maximum values of the preceding audio correlation coefficient and the maximum value of the reference audio correlation coefficient; and selecting the one discrete fourier transform buffer from the reference phrase audio segment with the greatest distance as the signature; receiving audio command prompts and processing each of the audio command prompts to generate a discrete fourier transform; comparing each discrete fourier transform for the audio command prompts with each of the signatures and determining a correlation value of each comparison; and determining that one such audio command prompt matches one such signature when the correlation value for that audio command prompt and signature satisfies a threshold.