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Usefulness of Emotional Prosody in Neural Machine Translation
In this work, we propose to improve translation quality by adding another external source of information: the automatically recognized emotion in the voice.
Improving Real-time Score Following in Opera by Combining Music with Lyrics Tracking
Fully automatic opera tracking is challenging because of the acoustic complexity of the genre, combining musical and linguistic information (singing, speech) in complex ways.
On-Line Audio-to-Lyrics Alignment Based on a Reference Performance
Audio-to-lyrics alignment has become an increasingly active research task in MIR, supported by the emergence of several open-source datasets of audio recordings with word-level lyrics annotations.
Handling Structural Mismatches in Real-time Opera Tracking
Algorithms for reliable real-time score following in live opera promise a lot of useful applications such as automatic subtitles display, or real-time video cutting in live streaming.
Towards Reliable Real-time Opera Tracking: Combining Alignment with Audio Event Detectors to Increase Robustness
Recent advances in real-time music score following have made it possible for machines to automatically track highly complex polyphonic music, including full orchestra performances.
