Neural Melody Composition from Lyrics
Table 3: Human evaluation results in blind-review mode
['Model', 'Overall', 'Emotion', 'Rhythm']
According to the results, Songwriter outperforms Seq2seq in all metrics, which indicates its effectiveness over the Seq2seq baseline. On the “Rhythm” metrics, human annotators give significantly lower scores to Seq2seq than Songwriter, which shows that the generated melodies from Songwriter are more natural on the pause and duration of words than the ones generated by Seq2seq. The results further suggest that using the exact information of syllables (Eq. It remains an open challenge for future research to develop better algorithms and models to generate melodies with higher quality.