  Fully automatic opera tracking is challenging because of the acoustic
complexity of the genre, combining musical and linguistic information (singing,
speech) in complex ways. In this paper, we propose a new pipeline for complete
opera tracking. The pipeline is based on two trackers. A music tracker that has
proven to be effective at tracking orchestral parts, will lead the tracking
process. In addition, a lyrics tracker, that has recently been shown to
reliably track the lyrics of opera songs, will correct the music tracker when
tracking parts that have a text dominance over the music. We will demonstrate
the efficiency of this method on the opera Don Giovanni, showing that this
technique helps improving accuracy and robustness of a complete opera tracker.
