2. The singing synthesizing database creation apparatus as claimed in claim 1 , wherein said second learning section segments the phoneme-dependent component data into data sections corresponding to individual ones of the phonemes of the lyrics included in the learning score data, executes, for each of the segmented data sections, a predetermined machine learning algorithm using individual phonemes included in the learning score data and the phoneme-dependent component, and as a result of the machine learning, generates, for each individual unique phoneme, phoneme-dependent component parameters defining a phoneme-dependent component model that represents, with a highest probability, pitch variation represented by the phoneme-dependent component data, and wherein the phoneme-dependent component parameters generated by said second learning section are associated with the phoneme identifier uniquely identifying the unique phoneme.
1. A singing synthesizing database creation apparatus comprising: an input section to which are input learning waveform data representative of sound waveforms of singing voices of a singing music piece and learning score data representative of a musical score of the singing music piece, the learning score data including note data representative of a melody and lyrics data representative of lyrics associated with individual ones of the notes; a pitch extraction section which analyzes the learning waveform data to generate pitch data indicative of variation over time in fundamental frequency in the singing voices; a separation section which analyzes the pitch data, for each of pitch data sections corresponding to phonemes constituting the lyrics of the singing music piece, by use of the learning score data and separates the pitch data into melody component data representative of a variation component of the fundamental frequency dependent on the melody of the singing music piece and phoneme-dependent component data representative of a variation component of the fundamental frequency dependent on the phoneme constituting the lyrics; a first learning section which generates, in association with a combination of notes constituting the melody of the singing music piece, melody component parameters by performing predetermined machine learning using the learning score data and the melody component data, said melody component parameters defining a melody component model that represents a variation component presumed to be representative of the melody among the variation over time in fundamental frequency between notes in the singing voices, and which stores, into a singing synthesizing database, the generated melody component parameters and an identifier, indicative of the combination of notes to be associated with the melody component parameters, in association with each other; and a second learning section which generates, for each of the phonemes, phoneme-dependent component parameters by performing predetermined machine learning using the learning score data and the phoneme-dependent component data, said phoneme-dependent component parameters defining a phoneme-dependent component model that represents a variation component of the fundamental frequency dependent on the phoneme in the singing voices, and which stores, into the singing synthesizing database, the generated phoneme-dependent component parameters and a phoneme identifier, indicative of the phoneme to be associated with the phoneme-dependent component parameters, in association with each other.