Neural Melody Composition from Lyrics
Table 2: Automatic evaluation results
['[EMPTY]', 'Teacher-forcing', 'Teacher-forcing Pitch', 'Teacher-forcing Pitch', 'Teacher-forcing Pitch', 'Teacher-forcing Duration', 'Teacher-forcing Duration', 'Teacher-forcing Duration', 'Teacher-forcing Label', 'Teacher-forcing Label', 'Teacher-forcing Label', 'Sampling', 'Sampling']
We can see that our proposed method outperforms all models in all metrics. As Songwriter performs better than Seq2seq, it shows that the exact information of the syllables (Eq. In addition, the CRF model demostrates lower performance in all metrics. In CRF model, we use a special tag to represent multiple musical notes if a syllable aligns more than one musical note, which will produce a large number of different kinds of tags and result in the CRF model is difficult to learn from the sparse data.