whisper-for-darpg

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Model Details

This fine-tuned 🤗 Whisper model is optimized for transcribing feedback calls related to citizen grievances into English text.

Model Description

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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• Finetuned from model: openai/whisper-small

Model Sources [optional]

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• Repository: DARPG-2024
• Demo: WHISPER-SPEECH-TO-TEXT-MODEL-FOR-DARPG

Uses

This fine-tuned Whisper model is designed for transcribing feedback calls related to citizen grievances into English text. It is intended for:

• Government agencies: To analyze and process public feedback efficiently.
• Customer service teams: To transcribe and review calls for insights.

Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

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How to Get Started with the Model

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Training Details

Training Data

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Training Procedure

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Preprocessing [optional]

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Training Hyperparameters

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Evaluation

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Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Hardware

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Software

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Citation [optional]

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Glossary [optional]

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