How does DeepSeek's AI generate lyrics?

First, the core principle of DeepSeek AI-generated lyrics

The generative process of capturing the laws of musical composition through a pre-trained language model consists of three key stages:

• Style Recognition:Automatically match the corresponding corpus based on keywords such as "Chinese style" and "pop-rock" inputted by users (e.g. analyze the distribution of imagery of Jay Chou's 300 lyrics).
• Rhythmic modeling:Use of the BPE participle to parse rhyming patterns and create a database of syllable correspondences (e.g., a database of rhyming combinations of "love-firm-agreement").
• Emotion Mapping:Through the BERT sentiment analysis module, emotional words such as "sadness" are converted into concrete imagery (e.g., "loneliness" is mapped to scenes such as "streetlight/rainy night/empty room").

II. Practical Guidelines (taking the creation of popular love songs as an example)

1. Initiate generation:Entering basic commands

   Please generate lyrics to a pop song about lost love that requires:
   - Main song/chorus structure
   - 4 lines per verse
   - Rhymes with "ian".
   - Include rainy day imagery

2. Parameter optimization:Additional specific requirements

   Additional requirements:
   1. Include a "coffee shop" scene in the second paragraph.
   2. Avoid clichés such as "heartache". 3.
   3. add figurative metaphors (e.g., "like a kite with a broken string").

3. Example of generated results:
   

   Main song 1:
   Raindrops on the windowsill writing yesterday
   Freeze time for missed call alerts
   Coffee cools the bitter arc
   Outlining the side of your turned face

   Chorus:
   We're like parallel subway lines.
   With promises that never overlap.
   Wipers can't erase the past.
   Gradually out of focus in the rearview mirror into a circle

III. Professional-level creative skills

IV. Quality Improvement Program

• Iterative optimization:Additional instructions to the first draft e.g. "Change 'freezing time' to a more vivid metaphor, retaining the time imagery but adding to the picture"
• Style Fusion:Experimenting with crossover combinations such as "adding literary elements to electronic music styles" to stimulate the advantages of model mixing training
• Parameter Adjustment:Creativity is controlled through the temperature parameter (0.3-0.7 for songwriting), and top_p values are kept above 0.9 to ensure semantic coherence

V. Notes on Copyright Notice

It is suggested to add in the generation prompt word: "Ensure that all metaphors are original and do not involve specific lyrics fragments of existing songs", the system will start the similarity detection module to compare the music copyright database of more than 500 million words. If more than 20% fragment similarity is detected, the rewriting mechanism will be triggered automatically.