467dl/month
Identifier
Model ID
collinbarnwell/pyannote-segmentation-30Tags
pyannote-audiopytorchpyannotepyannote-audio-modelaudiovoicespeechspeakerspeaker-diarizationspeaker-change-detectionspeaker-segmentationvoice-activity-detectionoverlapped-speech-detectionresegmentationlicense:mitregion:us
Use pyannote-segmentation-30 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, pyannote-segmentation-30 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
Organizationcollinbarnwell
TaskVoice Activity Detection
Librarypyannote-audio
Licensemit
Downloads/mo467
View on HuggingFace
See model card, files, and community discussion
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