Summary of Optimizing the Songwriting Process: Genre-based Lyric Generation Using Deep Learning Models, by Tracy Cai et al.
Optimizing the Songwriting Process: Genre-Based Lyric Generation Using Deep Learning Models
by Tracy Cai, Wilson Liang, Donte Townes
First submitted to arxiv on: 15 Sep 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Sound (cs.SD); Audio and Speech Processing (eess.AS)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper presents a deep learning approach to simplify the traditional songwriting process, optimizing the time it takes to produce lyrics that fit specific genres and forms. A dataset of 18,000 songs from Spotify is used to develop a preprocessing format for tokenizing lyrics into individual verses. The results are then used to train baseline models, including a seq2seq model and a LSTM-based neural network model, both tailored to song genres. The paper finds that the baseline model yields higher recall (ROUGE) but similar precision (BLEU) compared to the LSTM-based model. Qualitatively, the generated lyrical phrases are found to be comprehensible and discernible by genre, even if not exact matches with true lyrics. Overall, the results demonstrate the potential for speeding up lyric generation to produce genre-based lyrics and aid in hastening the songwriting process. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper uses artificial intelligence to help songwriters create music faster and better. They took a huge dataset of 18,000 songs from Spotify and used it to develop a new way of processing song lyrics. Then they trained two different models to generate new lyrics that fit specific genres. The results show that the generated lyrics are pretty good and can be used to speed up the songwriting process. This could be useful for artists who want to write music quickly or for people who want to create music but don’t have a lot of experience. |
Keywords
» Artificial intelligence » Bleu » Deep learning » Lstm » Neural network » Precision » Recall » Rouge » Seq2seq
