Patent ID: 7454347

Claim:
A voice labeling error detecting system comprising: data acquisition means for acquiring waveform data representing a waveform of a unit voice and labeling data for identifying a kind of said unit voice; classification means for classifying the waveform data acquired by said data acquisition means into the kinds of unit voice, based on the labeling data acquired by said data acquisition means; evaluation value decision means for specifying a frequency of a formant of each unit voice represented by the waveform data acquired by said data acquisition means and determining an evaluation value of said waveform data based on the specified frequency; and error detection means for detecting the waveform data from among a set of waveform data classified into a same kind, for which a deviation of evaluation value within said set reaches a predetermined amount, and outputting the data representing said detected waveform data, as waveform data having a labeling error, and wherein said evaluation value H is calculated by the following formula representing a linear combination of values {|f(k)−F(k)|}: H = ∑ k = 1 n ⁢ ⁢ {  f ⁡ ( k ) - F ⁡ ( k )  · W ⁡ ( k ) } wherein F(k) is a frequency of the k-th formant of a unit voice indicated by the waveform data to calculate the evaluation value, and f(k) is an average value of the frequency of the k-th formant of the unit voice indicated by each waveform data classified into the same kind as said waveform data, W(k) is a weighting factor and n is the order of formant of the phoneme having the highest frequency.