5dl/month
Identifier
Model ID
kamilakesbi/segmentation_model_pyannoteTags
pyannotepytorchpyannote.audiopyannote-audio-modelaudiovoicespeechspeakerspeaker-diarizationspeaker-change-detectionspeaker-segmentationvoice-activity-detectionoverlapped-speech-detectionresegmentationregion:us
Use segmentation_model_pyannote on Mixpeek
Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.
Open StudioHow It Runs on Mixpeek
On Mixpeek, segmentation_model_pyannote runs as a managed extractor inside a processing pipeline. Point a bucket of voice activity detection data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.
Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.
Specification
Organizationkamilakesbi
TaskVoice Activity Detection
Librarypyannote
Downloads/mo5
View on HuggingFace
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