# Automatic Speech Recognition

This model is an automatic speech recognition (ASR) model fine-tuned on the Wav2vec 2.0 architecture, trained using a TIMIT subset enhanced with Room Impulse Response (RIR)

This is an Automatic Speech Recognition (ASR) model trained on an unknown dataset, achieving a Word Error Rate (WER) of 0.6309.

This is a small random robustness model based on the wav2vec2 architecture, fine-tuned on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - AB dataset for automatic speech recognition tasks.

An automatic speech recognition model fine-tuned on the Common Voice 8.0 Abkhazian dataset based on xls-r-dummy

This is a baseline model for Khmer automatic speech recognition (ASR), designed to provide foundational support for Khmer speech recognition tasks.

This model is an automatic speech recognition (ASR) model fine-tuned on the TIMIT_ASR dataset based on facebook/wav2vec2-base, achieving a word error rate (WER) of 0.2151 on the evaluation set.