# Speech recognition

This model is a speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base and trained in the Google Colab environment.

This model is a speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base, with a word error rate (WER) of 0.2574 on the evaluation set.

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

This model is a speech recognition model fine-tuned on the LibriSpeech 100-hour dataset based on facebook/wav2vec2-large-lv60, achieving a low word error rate.