Model Details
Full Model IDpyannote/voice-activity-detection
Pipeline / Taskautomatic-speech-recognition
Librarypyannote-audio
Downloads (all-time)3.5M
Likes233
Last Modified5/10/2024
Author / Orgpyannote
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("automatic-speech-recognition", model="pyannote/voice-activity-detection")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
pyannote-audiopyannotepyannote-audio-pipelineaudiovoicespeechspeakervoice-activity-detectionautomatic-speech-recognitiondataset:amidataset:diharddataset:voxconverselicense:mitregion:us
More Speech Recognition Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🎙️ Task: Speech Recognition
This model is designed for the Speech Recognition task. Explore more models for this use case.
All Speech Recognition Models →📊 Popularity
⬇ Downloads3.5M
❤️ Community Likes233
🛠️ Requirements
- →Install: pip install pyannote-audio
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.