Abstract
Songs are melodic manifestations that are performed by individuals. These tunes are made altogether by both a lyricist who composes the verses and the artist who sings them. Verse writing in itself is an exceptionally selective and characterized issue. The ever-expanding utilization of innovation and the way that they are effectively accessible to us make human lives comfortable. A lyricist can often have a mind block while considering verses or may even find it difficult to get an idea. The principal reason for this exploration is to enable the lyricist to get a motivation that can assist him in making better verses. To accomplish this, a profound learning method is utilized alongside the idea of natural language processing. Specifically, bidirectional long short-term memory (LSTM) networks are used for lyric generation. The proposed framework can exceptionally create versus relying upon the information seed and the scope of words.
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Domala, J., Dogra, M., Srinivasaraghavan, A. (2021). Lyrics Inducer Using Bidirectional Long Short-Term Memory Networks. In: Kumar, S., Purohit, S.D., Hiranwal, S., Prasad, M. (eds) Proceedings of International Conference on Communication and Computational Technologies. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-3246-4_2
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