  We propose a deep attention-based alignment network, which aims to
automatically predict lyrics and melody with given incomplete lyrics as input
in a way similar to the music creation of humans. Most importantly, a deep
neural lyrics-to-melody net is trained in an encoder-decoder way to predict
possible pairs of lyrics-melody when given incomplete lyrics (few keywords).
The attention mechanism is exploited to align the predicted lyrics with the
melody during the lyrics-to-melody generation. The qualitative and quantitative
evaluation metrics reveal that the proposed method is indeed capable of
generating proper lyrics and corresponding melody for composing new songs given
a piece of incomplete seed lyrics.
