| Autor: |
Anuradha Srinivasaraghavan, Manmohan Dogra, Jayashree Domala |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Algorithms for Intelligent Systems ISBN: 9789811632457 |
| DOI: |
10.1007/978-981-16-3246-4_2 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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