Whisper-Dubhacks-24

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OpenVino Text-2-Speech with WhisperAI Models.

Model Details

• openai/whisper-small
• distil-whisper/distil-large-v3

Model Description

OpenVino Text-2-Speech with WhisperAI Models, with integer quantization for performance improvements when deployed on the Intel AI PC.

• Developed by: Samuel Wang, Isaac Wu, Sriram Kutty
• Funded by [optional]: [More Information Needed]
• Shared by [optional]: [More Information Needed]
• Model type: Text to Speech.
• Language(s) (NLP): [More Information Needed]
• License: [More Information Needed]
• Finetuned from model [optional]: Distil-Whisper.

Model Sources [optional]

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Uses

Text to Speech Usecases.

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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Speeds, Sizes, Times [optional]

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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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