Spanna/wav2vec2-yssy2

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Model Details

Model Description

This model is a retrained version of Jzuluaga/wav2vec2-large-960h-lv60-self-en-atc-uwb-atcc-and-atcosim where the dataset in lmejias/YSSY_2 has been added in. Therefore, the model has been trained with facebook/wav2vec2-large-960h-lv60-self, UWB-ATCC, ATOSIM and YSSY_2 data

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

• Developed by: Anna Warwick
• Funded by Queensland University of Technology : Luis Mejias provided supervision and the datasets

Model Sources

https://huggingface.co/Jzuluaga/wav2vec2-large-960h-lv60-self-en-atc-uwb-atcc-and-atcosim

Uses

The model was intended to reduce the WER of the YSSY_1 dataset by introducing data that is closer to the YSSY domain. Overall WER of Jzuluaga's model: WER of 0.436 Addition of YSSY_2: WER of 0.430 It is an improvement but YSSY_2 only has 71 audio files (<10 minutes) so the improvement is minor. More YSSY_2 data likely = better WER

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

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Training Details

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Training Procedure

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Summary

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Environmental Impact

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

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