Provide Gradio custom components to make the diarization-based audio annotation process easier
Project description
gryannote: a speaker diarization labeling tool
gryannote is a collection of Gradio
custom components focusing on the labeling of speaker diarization data. Integrated with the pyannote
speaker diarization ecosystem, it allows to build web applications to load pretrained pyannote
pipelines and customize their hyper-parameters, upload or record an audio file, process it with the pipeline, visualize and interact with its outputs, correct them if needed, and export the final annotation in RTTM format. Each of these components can be used independently from each other.
Available Gradio
custom components
Here is the list of Gradio
custom components integrated in gryannote
Installation
pip install gryannote
Usage
The following code snippet show how to use the gryannote_audio
component with a pyannote
pipeline in just a few lines of code. You can find a complete example that uses the three component
in app.py
script.
import gradio as gr
from gryannote_audio import AudioLabeling
from pyannote.audio import Pipeline
audio_labeling = AudioLabeling(type="filepath", interactive=True)
def apply_pipeline(audio):
pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization-3.1")
annotations = pipeline(audio)
return (audio, annotations)
demo = gr.Interface(apply_pipeline, inputs=audio_labeling, outputs=audio_labeling)
demo.launch()
Interface
Launching app.py
script will generate the following interface. This interface uses the three gryannote
components. More details about these components and their interface can be found
in their respective README.
RTTM annotations in RTTM component are dynamically updated according to the audio labeling made in the audio component.
Try it!
A version of the gryannote
app is available in this Hugging Face space
Citation
TO BE UPDATED
@inproceedings{Pages24,
author={Clément Pagés and Hervé Bredin},
title={{gryannote open-source speaker diarization labeling tool}},
year=2024,
booktitle={Proc. INTERSPEECH 2024},
}
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