speaker-diarization-3.1 ▼ 4
top 43% by trending score
speaker-diarization-3.1 is a automatic-speech-recognition model in the Audio category, published by pyannote. These figures are Hugging Face's own signals — downloads, likes and trending score — captured by Model Radar and refreshed daily. For weights, model card and usage, open it on Hugging Face.
Surge analysis
why it's on the radarHugging Face publishes a single trending score; it doesn't expose the formula. So Model Radar reads the surge from the four public signals that move with it — momentum, adoption, community and recency — each normalized against the tracked field, then weighted into a 0–100 composite. The weights are ours, and shown below. No hidden inputs.
Radar position over time
movementWhere speaker-diarization-3.1 sits on the radar, tracked daily — slipped 4 positions since the prior run. position over the last 18 days tracked · best: #61.
In context
vs. category peersHow this model stacks up against the other 12 Audio models on the radar. The filled bar is this model; the tick is the category-peer median. Downloads and likes use a log scale (they span orders of magnitude).
Bars are normalized against the most extreme model in the whole radar, so a near-full bar means category-leading. Peer median = the middle model of the 12 in this category.
Recency
last updateWhere this model's last update lands on a freshness scale — fresh (<14d), recent (14–60d), or older.
Category peers
Audio · 12 modelsOther Audio models ranked near this one — click through to compare.
📛 Embed this badge
rank badgeShow your live Model Radar rank in your README — it updates daily and links back here.
Primary links
on hugging faceGo straight to the source — everything here links back to Hugging Face.