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Exploring Aligned Lyrics-Informed Singing Voice Separation

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Document pages: 8 pages

Abstract: In this paper, we propose a method of utilizing aligned lyrics as additionalinformation to improve the performance of singing voice separation. We havecombined the highway network-based lyrics encoder into Open-unmix separationnetwork and show that the model trained with the aligned lyrics indeed resultsin a better performance than the model that was not informed. The question nowremains whether the increase of performance is actually due to the phoneticcontents that lie in the informed aligned lyrics or not. To this end, weinvestigated the source of performance increase in multifaceted ways byobserving the change of performance when incorrect lyrics were given to themodel. Experiment results show that the model can use not only just vocalactivity information but also the phonetic contents from the aligned lyrics.

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