aditya-joglekar/FS02_Scoring_Toolkit

Scoring Toolkit for the Fearless Steps Challenge Phase-02 Tasks

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This toolkit helps researchers and developers participating in the Fearless Steps Challenge Phase-02 evaluate their speech technology systems. It takes in the ground truth data and your system's output for tasks like Speech Activity Detection, Speaker Identification, Speaker Diarization, and Automatic Speech Recognition. The output is a set of standardized scores and metrics to measure your system's performance, allowing participants to prepare their challenge submissions.

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Use this if you are a participant in the Fearless Steps Challenge Phase-02 and need to accurately score your speech processing system's performance and prepare your submission.

Not ideal if you are looking for a general-purpose speech scoring toolkit outside the specific context and metrics of the Fearless Steps Challenge Phase-02.

speech-processing speech-activity-detection speaker-identification speaker-diarization automatic-speech-recognition
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 14 / 25

How are scores calculated?

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3

Language

Python

License

Last pushed

Feb 16, 2021

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