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; a melody component extraction section which analyzes the learning waveform data to identify variation over time in fundamental frequency component presumed to represent a melody in the singing voices and then generates melody component data indicative of the variation over time in fundamental frequency component; and a 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 component 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.
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; a melody component extraction section which analyzes the learning waveform data to identify variation over time in fundamental frequency component presumed to represent a melody in the singing voices and then generates melody component data indicative of the variation over time in fundamental frequency component; and a 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 component 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. 2. The singing synthesizing database creation apparatus as claimed in claim 1 , wherein the learning score data include note data representative of a melody and lyrics data indicative of lyrics associated with individual notes, and said melody component extraction section generates the melody component data by removing a variation component, dependent on any of phonemes constituting lyrics of the singing music piece, from the variation over time in fundamental frequency component of the singing voices represented by the learning waveform data.