Extracted genre, mood, language and grouping from generic clusters

2026-06-17 21:34:29 +02:00
parent 77f9b033ed
commit dbd6e57160
82 changed files with 3648 additions and 275 deletions
@@ -41,7 +41,7 @@ _LMS_ provides several ways to help you find the music you like:
  * ...

 __Note__: the recommendation engine supports two modes:
-* **Tag-based**: uses metadata tags `genre` and `grouping`.
+* **Tag-based**: uses metadata tags `genre`, `mood`, `grouping`, and `language`.
 * **Audio similarity**: uses MusicNN embeddings. Extraction throughput depends heavily on both the number of scanner threads and the speed of your storage. Typical reported speeds range from ~1k tracks/hour on a Raspberry Pi 4 (3 threads) to ~25k tracks/hour on an Intel Core i5-13500 (10 threads). To speed up extraction, consider tweaking `scanner-thread-count` in `lms.conf` (defaults to half the number of logical CPUs).

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