  This dissertation proposes the study of multimodal learning in the context of
musical signals. Throughout, we focus on the interaction between audio signals
and text information. Among the many text sources related to music that can be
used (e.g. reviews, metadata, or social network feedback), we concentrate on
lyrics. The singing voice directly connects the audio signal and the text
information in a unique way, combining melody and lyrics where a linguistic
dimension complements the abstraction of musical instruments. Our study focuses
on the audio and lyrics interaction for targeting source separation and
informed content estimation.
