# Word Error Rate Optimization

This model is a speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base, primarily used for English speech-to-text tasks.

This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base, achieving a word error rate of 0.5635 on the TIMIT dataset.

A speech recognition model fine-tuned from facebook/wav2vec2-base, trained on toy dataset, supporting audio masking tasks

This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base on an unknown dataset, trained using a 10% data subset.

A fine-tuned speech recognition model based on facebook/wav2vec2-base, suitable for English speech-to-text tasks.

This model is a Hausa speech recognition model fine-tuned on the Common Voice dataset based on facebook/wav2vec2-large-xlsr-53

This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base, suitable for English speech recognition tasks.